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Intern - Gen. AI Art
Scopely is looking for a creative and enthusiastic AI Art (2D) - Intern to join our Casino team in Bangalore on a hybrid basis . At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The GSN Casino team is home to slots, bingo, cards, and more! Work on incredible games, including a top-10 grossing app, alongside the best in the business. What You'll Be Doing: This internship offers a unique opportunity for aspiring artists to explore the exciting intersection of traditional artistic principles and cutting-edge AI technologies. - Contribute to the creation of high-quality 2D visual assets using an AI-assisted pipeline. - Utilize generative AI software such as Stable Diffusion, Chat GPT and Scenario to generate and enhance visual content. - Work closely with experienced artists to ensure AI-generated artwork aligns with project objectives. - Assist in documenting processes and effectively communicate progress and insights to the team. - Stay informed about the latest developments and trends in AI art technology. - Refining and editing AI-generated outputs in Photoshop based on feedback, while ensuring adherence to artistic standards. - When required, the artist should be capable of creating concept sketches or mashups, which can then be further developed using AI tools. What We're Looking For: - Fundamental knowledge of art principles, including composition, lighting, color theory, and anatomy. - Familiarity with digital art software like Photoshop. - A strong interest/passion in or basic understanding of AI art tools (e.g., Stable Diffusion, Midjourney). - A proactive attitude and ability to learn and collaborate effectively within a diverse team. Bonus Points For: - Basic familiarity with Unity for integrating assets. - Exposure to 3D modeling tools (Blender, ZBrush). - Interest in mobile game development and Agile methodologies. Join us to be part of the innovative world of AI-driven creativity and make contributions to popular games enjoyed by a global audience! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Data Scientist, Marketing
Scopely is a global gaming company whose mission is to inspire play every day. The mission of Scopely Explore (formerly known as Niantic) is to inspire people to explore the world, together. We build products that inspire exercise, exploration, and social in-person interaction. We are seeking a quantitatively strong and business-oriented Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth. This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value. Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory. Responsibilities User Acquisition (UA) - Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems. - Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals. - Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc. - Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited. - Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments. - Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods. Direct Marketing - Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources. - Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns. - Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy. Analytics Infrastructure & Workflow Efficiency - Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics. - Ensure data quality, documentation, and consistency across marketing data pipelines. - Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation. - Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders. - Contribute to responsible and thoughtful adoption of AI-powered analytics tools. Qualifications - 1–5 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). - Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM). - Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV. - Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments. - Proficiency in SQL and experience using Python (or similar) for analysis. - Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker). - Strong analytical, communication, and stakeholder management skills in a cross-functional environment. Plus If… - Experience supporting brand or upper-funnel marketing measurement. - Exposure to marketing mix modeling or other aggregate-level measurement frameworks. - Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling. - Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools. - Experience working with global marketing teams across multiple regions. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $141,800 - $202,500 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Machine Learning Engineer II
Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Team: The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. ML at Tinder is organized into three groups with distinct roles: Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment. This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team’s work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California. In this role, you will: Translate product and business problems into clear machine learning problems with measurable success criteria Build, train, evaluate, and improve production machine learning models Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production Design and analyze offline evaluations and online experiments to understand model impact Contribute to feature engineering, data preparation, training pipelines, and model monitoring Write clean, maintainable, production-quality code and participate in design and code reviews Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical
Staff Machine Learning Engineer - League of Legend...
At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches. As a Staff Machine Learning Engineer embedded into League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking. You will report to the Senior Manager, ML Engineering in Tech Foundations while operating as a deeply embedded technical partner to the League team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline. This role will be located at our Los Angeles headquarters. Responsibilities: - Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration. - Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team. - Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context. - Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints. - Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features. - Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks. - Design and run experiments to evaluate model quality, player impact, and system tradeoffs. - Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed. - Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight. - Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings. - Help establish robust monitoring, observability, and support practices for live ML systems as they scale. Required Qualifications: - Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. - 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles. - Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems. - History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply. - Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction. - Comfort with ambiguity — you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start. - Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you. - Excellent written and verbal communication. - Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments is a plus. - Experience bridging research and production — translating papers or prototypes into reliable shipped systems — is a plus. - Familiarity with ML platform components (model serving, feature stores, ML observability) is a plus. - Passion for player experience, games, or creative technology. Desired Qualifications: - Experience building ML systems for games, live service products, consumer personalization, or other player-facing digital products. - Experience with matchmaking, recommendations, multi-objective optimization, or other systems that must balance competing goals. - Familiarity with causal inference, uplift modeling, contextual bandits, reinforcement learning, or other approaches useful for adaptive player experiences. - Experience integrating models into latency-sensitive or high-reliability production environments. - Experience defining telemetry or instrumentation needs in close partnership with software engineers. - Familiarity with responsible AI practices, including fairness, safety, transparency, and operational trustworthiness. - Comfort collaborating across a central craft organization and an embedded product team model. For this role, you’ll find success through: - Strong applied ML craft - Independent execution in ambiguous spaces - Thoughtful collaboration with product, design, engineering, and Insights partners - Decision-making that prioritizes player value and long-term system health For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Staff Machine Learning Engineer - Game Tech Group,...
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently. As a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot’s ML platform. You will apply modern MLOps practices to improve reliability, scalability, and developer experience for teams building AI-powered products across Riot. You will report to the Engineering Manager. Responsibilities: - Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration - Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production - Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability - Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies - Improve developer experience by reducing operational complexity and simplifying platform onboarding - Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem - Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities - Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability Required Qualifications: - 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams - Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems - Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems - Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling - Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management - Experience building and operating services within distributed or service-oriented architectures Desired Qualifications: - Experience building ML infrastructure within a real-time, or latency-sensitive environment - Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability - Familiarity with agentic workflows and orchestration frameworks for LLM-based systems - Passion for player experience, game systems, or creative technology development For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Staff Data and AI Engineer - Enterprise
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities. As a Staff Data and AI Engineer on the Enterprise Data & AI team, you will operate at the intersection of data engineering, data architecture, and AI solutions for Riot Enterprise. You will be instrumental in designing and building the enterprise data warehouse, developing scalable data integrations (connecting platforms like OneStream, Oracle, Workday, and Databricks), and delivering critical Enterprise agentic analytics and AI services. The ideal candidate blends hands-on technical expertise with a strategic, platform-oriented mindset. You will be responsible for creating robust technical solutions, including scalable data pipelines, comprehensive data warehouse models, and AI enabled workflow and process automations. This work involves close collaboration with Enterprise leaders, architects, and system owners, and data specialists to translate corporate strategic and operations business requirements into secure, high-value, and maintainable solutions. The role will report to the Senior Manager, Enterprise Data and AI. Responsibilities: - Partner with stakeholders across Finance, HR, Legal, IT, and Operations to understand business workflows, clarify requirements, and translate them into technical designs, with an immediate focus on process automation, conversational agents, and data integrations for key corporate systems. - Design, build, and maintain the data and platform components of Riot’s Enterprise AI ecosystem, contributing to reference architectures for RAG/agents (indexing, vector stores, caching) and orchestration frameworks. - Contribute to conceptual and logical data models for enterprise domains and help connect those models to business capabilities, processes, and downstream applications. - Design, build, and maintain data pipelines, transformations, integrations, and warehouse-oriented data products across enterprise platforms and data systems. - Support reporting, analytics, and application capabilities by helping shape reliable data foundations and implementation patterns. Required Qualifications: - Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent experience delivering enterprise technology solutions). - 8+ years of experience in enterprise applications, data engineering, or platform engineering spaces, including delivery of data and automation solutions at scale. - Experience delivering AI (traditional or generative) or advanced agentic automation solutions at scale. - Strong technical knowledge of orchestration platforms (Workato, n8n, Camunda) and AI platforms (e.g., Google Vertex/Agent Platform, Anthropic Claude Platform, OpenAI Platform) and their enterprise applications, including Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts. - Hands-on experience building or supporting data pipelines and integrations across enterprise applications, APIs, middleware, and data platforms. - Required hands-on experience with Databricks for developing, transforming, and operationalizing data workflows or warehouse-oriented solutions. - Strong familiarity with data transformation and data warehousing methodologies, including dimensional modeling and medallion architecture patterns. - Strong technical knowledge of enterprise platforms (e.g., Workday, ServiceNow, Coupa, Concur, Oracle, IronClad) and respective integration options. Desired Qualifications: - Experience supporting master data, reporting, analytics, or business intelligence use cases. - Strong hands-on experience with Workato, including implementing agentic workflows and AI-powered operational analytics and automations. - Familiarity with frameworks for agent development (e.g., LangChain, Pydantic AI) and orchestration platforms (e.g., LangGraph, CrewAI, Vertex AI Agent Builder, Microsoft AutoGen, or similar). - Experience building or integrating enterprise knowledge search platforms (e.g., federated search, vector DBs, retrieval-augmented generation) for enterprise use cases. - Experience with cloud data and application technologies such as AWS data services, dbt, or event-driven integration patterns. - Experience leading change in complex organizations and mentoring teammates or helping less technical partners adopt better data and systems practices. For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Software Engineering Manager, Gameplay AI/ML - VAL...
Riot engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As an Engineering Manager, you’ll predominantly offer creative solutions to organizational design. You’ll also serve as a mentor for a team of engineers, overseeing performance management, growth opportunities, and accountability. Want to lead AI development for the world’s largest competitive tactical shooter? As Engineering Manager of the VALORANT AI team, you will guide a group of engineers building the systems, behaviors, and machine-learning–driven capabilities. You will lead a passionate team of engineers in supporting the ongoing needs of a large and geographically diverse development team. You will bring management and AI development experience, strong technical judgment, and a passion for advocating for both players and developers. Responsibilities: - Manage a group of 4-8 engineers across experience levels, providing regular feedback and performance management. Coach and develop your engineering team to grow in their roles, develop technical skills, and improve their effectiveness. - Develop and communicate the technical vision for your team, working with design, production, and game leadership partners to ensure consistency with overall product goals. Communicate and evangelize this vision to your team clearly. - Advocate for players, your team, and internal development customers when deciding what to build and why. Coordinate and work effectively with other teams across Riot working on AI and ML technology. - Serve as a technical backstop by contributing to code as appropriate, reviewing technical designs, and ensuring strong engineering practices and architectural rigor. Ensure high technical quality of what your team produces. - Foster a collaborative, challenging, and satisfying environment for your development team. Find and surface issues, opportunities, and address them head-on. Celebrate wins. - Be a standard-bearer and role model of Riot values for your team and others. - Resolve conflict and respond to emergent issues. - Other reasonable activities required by management Required Qualifications: - 5+ years of experience as a hands-on Software Engineer - 2+ years experience directly leading an engineering team of at least 4 as an Engineering Manager and/or Engineering Lead - 2+ years experience developing in Unreal, Unity, or another game engine - 2+ years experience with game AI technologies (behavior trees, perception systems, etc.) and/or ML technologies (data science, machine learning, model training and inference, etc.) - Experience writing, reading, and reviewing C++ - Experience working in complex, large-scale game or engine codebases - Excellent communication and collaboration skills across disciplines Desired Qualifications: - Experience developing games for Xbox and PlayStation console platforms - Experience in Agile processes and continuous delivery For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Data Scientist, Analytics
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams including revenue. If you’re passionate about data, impact, and working on an amazing team, read on! What you'll be doing - Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing - Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information - Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes - Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve - Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly - Collaborate with data and engineering teams to design scalable and future-proof instrumentation What you should have - 3+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics - 3+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations - 2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment - 2+ years experience writing excellent SQL - Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways - A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord - Last but not least - a collaborative attitude and a healthy dose of natural curiosity! Bonus Points - Passion for Discord or online communities - Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc. - Experience in the user engagement and growth problems - Experience writing performant code in BigQuery SQL - Experience with writing production ETL - Experience leveraging AI for data science The US base salary range for this full-time position is $180,000 to $220,000 + equity + benefits. Our salary ranges are determined by role and level. Within th
Research Intern, PhD or Master's (Contract)
At the Riot Singapore Efficiency team, we're pushing the frontiers of how Generative AI can power the next generation of creativity and game development. We leverage cutting-edge machine learning approaches to reimagine how art, animation, and design content are produced and enhanced across our games. We are seeking a passionate and skilled intern (PhD or Master's level) to join our R&D efforts. As a Generative AI Research Intern, you will explore foundational or applied challenges in generative modeling and contribute to building state-of-the-art systems that empower creatives. Please note that Riot Games does not offer relocation packages for this position. You need to be able to work legally in Singapore, without Riot Games’ sponsorship, to be considered. Responsibilities: - Investigate and prototype advanced generative models targeting creative pipelines. - Collaborate with interdisciplinary stakeholders to ensure research aligns with real-world constraints and goals. - Share results through internal demos, documentation, or technical writeups. Required Skills: - Currently pursuing a Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field. - Strong theoretical background in machine learning and generative modeling. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Familiarity with models such as diffusion and score-based generative models, flow matching, GANs, VAEs, and Transformers. - Excellent communication and documentation skills. Desired Skills: - Experience with multimodal modeling, controllable generation, or diffusion-based frameworks. - Interest in games, digital creativity tools, or player-facing applications. - Publications or work in submission at top ML/AI/CV/CG conferences (NeurIPS, ICLR, CVPR, ICML, SIGGRAPH). Our Perks: - Mentorship from senior researchers and engineers. - Access to internal tools, datasets and compute for experimentation.
Principal Technical Product Manager - VALORANT, AI...
Technical Product Managers combine deep technical knowledge and experience with product leadership capabilities which are needed to enable Riot Games to deliver key products and experiences to make it better to be a player. You will develop and execute strategies on Riot's products and technologies while leading diverse teams to deliver creative solutions to our most difficult technical and experiential challenges. As a Principal Technical Product Manager on VALORANT Studio Data, focused on Artificial Intelligence and Machine Learning applications, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing VALORANT'S entire product landscape to identify where Machine Learning and Generative AI can improve the players experience. You will serve as a key lieutenant to leadership across the game, identifying product opportunities that will empower fellow Rioters or surprise and delight players. You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an initiative, we deliver tangible value to our players and Rioters. Responsibilities: - Assess VALORANT's product landscape to identify high-impact opportunities where AI can enhance development or player experience - Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value - Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success - Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows - Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements - Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy - Translate empathy for internal developers and players into AI product experiences that solve genuine pain points Required Qualifications: - 8+ years of relevant experience in Technical Product Management or a related engineering/research field - Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI - Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority - Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads - Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics Desired Qualifications: - Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows - Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics - Passion for games and a deep understanding of the player experience For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Principal Technical Product Manager, AI - Central...
Riot leverages Technical Product Managers (TPMs) in situations where deep technical expertise will meaningfully improve product outcomes. As a Principal TPM focused on Artificial Intelligence, you will not be bound to a single feature team. Instead, you will act as a strategic force multiplier, assessing Riot’s entire product landscape to identify where Machine Learning and Generative AI can fundamentally transform how we make games and how players experience them. As a Principal Technical Product Manager on Central Product, you will serve as a key lieutenant to leadership, deployed to bring structure and ambition to our most critical Initiatives. You will move fluidly between high-level strategy and deep tactical execution, ensuring that when we commit to an AI initiative, we deliver tangible value to our players and Rioters. Responsibilities: - Assess Riot’s product landscape to identify high-impact opportunities where AI can enhance development or player experience. - Develop and align generative strategy for critical product areas, prioritizing outcomes that create measurable value. - Bring strategic structure and clarity to our core AI Initiatives to ensure they are set up for long-term success. - Author strategic proposals and "Build vs. Buy" analyses to secure alignment from executives and game teams. - Partner with engineering and research teams to ensure AI solutions are robust, scalable, and seamlessly integrated into workflows. - Lead cross-functional teams through influence, bridging the gap between abstract AI concepts and concrete product requirements. - Serve as a strategic proxy for leadership, stepping in to manage high-stakes opportunities with autonomy. - Translate empathy for internal developers and players into AI product experiences that solve genuine pain points. Required Qualifications: - 8+ years of relevant experience in Technical Product Management or a related engineering/research field. - Demonstrated experience managing products powered by Machine Learning, Large Language Models (LLMs), or Generative AI. - Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority. - Strong technical background (CS degree or equivalent experience) allowing for credible debate on tradeoffs with Engineering Leads. - Experience translating open-ended research or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics. Desired Qualifications: - Familiarity with the game development lifecycle, including art toolchains, game engines, and live ops workflows. - Experience taking a nebulous technology concept and turning it into a shipped product with clear KPIs and metrics. - Passion for games and a deep understanding of the player experience. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Principal Software Engineer - ML Platform Engineer
Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. The AI Efficiency team at Riot Games builds the platforms, tools, and technical foundations that help Rioters safely and effectively use AI to accelerate how we work. As these systems become increasingly important to creative, product, and development workflows across Riot, we need platform engineering that can keep pace with growing scale, complexity, and expectations. As a Principal Platform Engineer on the AI Efficiency team, you will design, build, and evolve the internal platforms, automation systems, and operational guardrails that make our AI services and developer workflows more scalable, reliable, and easy to use. You will partner closely with software engineers, infrastructure teams, and cross-functional stakeholders to improve developer experience, platform reliability, deployment safety, observability, and operational excellence across a growing portfolio of AI services, internal tooling, and supporting infrastructure. You will also help the team evaluate and operationalize a new generation of AI-native engineering workflows, including agent-assisted code review, automated bug triage and remediation, AI-driven performance and security analysis, browser-based UI validation, and other emerging automation patterns that can safely augment human judgment. This role is not only about building better platforms for today, but also about shaping how Riot adopts the next wave of intelligent engineering tooling responsibly and effectively. Current platform-engineering guidance emphasizes product-minded internal platforms, self-service, and golden paths, while modern browser automation tooling now explicitly supports AI-agent workflows and accessibility-focused testing. You’re right for this role if you enjoy making complex systems easier to use and operate, reducing cognitive load for engineers, building paved roads instead of one-off solutions, and improving reliability through strong platform design. You are energized not only by hard infrastructure and operational problems, but also by the opportunity to responsibly bring new AI-native automation patterns into real engineering workflows. Responsibilities: - Design, implement, and evolve internal platform capabilities that make AI Efficiency services easier to build, ship, observe, secure, and operate - Build and maintain self-service workflows, reusable platform abstractions, and golden paths that improve developer productivity while preserving reliability, security, and governance - Improve platform reliability through better monitoring, alerting, observability, deployment safety, release practices, and incident readiness - Define and operationalize service health indicators, SLIs, SLOs, and related reliability metrics that help teams make informed tradeoffs between reliability, velocity, and cost - Build automation that reduces operational toil and improves mean time to detect, respond, and recover from incidents - Partner with engineers throughout the software development lifecycle to embed operability, production readiness, and maintainability into system design, implementation, rollout, and ongoing support - Improve CI/CD systems, developer workflows, and release pipelines so shipping becomes safer, faster, and more repeatable - Identify platform and reliability risks across distributed systems, infrastructure, service dependencies, and operational workflows, and drive durable improvements - Troubleshoot AI model-serving issues across frameworks, runtimes, and hardware environments, including diagnosing configuration, compatibility, and performance issues across different GPU platforms and supporting model format conversion workflows when needed - Design and run resilience, recovery, and failure-mode testing to validate system behavior under stress and uncover hidden weaknesses before they impact users - Evaluate, integrate, and operate AI-assisted engineering tools that improve code quality, reliability, security, performance, and developer productivity across the software delivery lifecycle - Build and evolve automation pipelines that combine conventional CI/CD systems with agentic workflows such as automated code review, bug detection, regression analysis, test generation, remediation suggestions, and workflow verification - Partner with engineers to introduce safe, auditable, and measurable uses of AI agents in areas such as pull request review, operational diagnostics, UI and UX validation, accessibility checks, and production readiness checks - Define guardrails, approval workflows, observability, reporting, and escalation paths for AI-assisted automation to ensure these systems remain safe, trustworthy, and operationally effective - Establish evaluation frameworks and success metrics for AI-native development tooling, including quality lift, false positive rates, latency, cost, operational risk, and impact on engineering throughput - Lead or contribute to incident response and post-incident improvement work for critical internal platforms and services, with a focus on systemic fixes and long-term resilience - Champion platform and operational excellence through documentation, runbooks, standards, and tooling that raise the engineering bar across the broader organization Required Qualifications: - Bachelor’s degree in Computer Science or a related field, or equivalent professional experience - 5+ years of experience in Platform Engineering, Infrastructure Engineering, Site Reliability Engineering, DevOps, Developer Experience, or a similar role supporting production systems and engineering workflows - Strong programming and automation skills in one or more languages such as Python, Go, or JavaScript / TypeScript - Experience designing, building, or operating internal platforms, developer tooling, CI/CD systems, or shared infrastructure used by multiple engineering teams - Experience operating and improving cloud-based production systems in AWS, GCP, Azure, or comparable environments - Strong understanding of observability practices, including metrics, logs, traces, dashboards, and alert design - Experience improving reliability and operability for distributed systems, service-oriented architectures, APIs, or platform infrastructure - Experience with incident management, root cause analysis, and driving durable operational improvements after production issues - Strong understanding of containerized environments and orchestration platforms such as Kubernetes, ECS, or similar technologies - Ability to collaborate across teams, influence technical direction, and communicate clearly with both engineers and non-engineers Desired Qualifications: - Experience supporting AI/ML platforms, inference services, model-serving systems, data pipelines, or GPU-backed workloads - Experience defining and using SLOs, error budgets, and reliability metrics to guide prioritization and engineering decisions - Experience with platform product thinking, including designing self-service experiences, paved roads, or golden paths for internal users - Experience improving the reliability and usability of developer platforms, internal tools, or enterprise-facing services - Familiarity with infrastructure as code and configuration management systems such as Terraform, Pulumi, or similar tools - Experience with security, access control, secrets management, and operational hardening in production environments - Experience balancing availability, latency, efficiency, cost, and ease of use in systems operating at scale - Experience mentoring other engineers and raising platform or reliability standards through technical leadership - Experience evaluating or integrating AI-assisted software engineering tools for code review, static analysis, test generation, incident investigation, or operational automation - Familiarity with emerging agentic engineering workflows, including how AI agents can safely interact with source control, CI/CD pipelines, browser automation, and developer platforms - Experience with end-to-end browser automation and testing frameworks such as Playwright, including their use for UI validation, accessibility checks, regression testing, or workflow automation - Experience establishing governance, review loops, or quality controls for automated and AI-assisted engineering systems - Comfort working at the intersection of platform engineering, reliability engineering, developer productivity, and emerging AI-native software delivery practices Our Perks: - Full relocation support - Comprehensive health insurance for you, your spouse, and children - Open paid time off - Retirement benefits with company matching - Life insurance, parental leave, plus short-term and long-term disability - Play Fund so you can deepen your knowledge of our players and community through games - We’ll double down on your donations of time and money to non-profits
Principal Software Engineer, AI Enablement - Centr...
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value. As a Principal Software Engineer, you’ll lead the development of key features and model high standards of engineering excellence. As a Principal Software Engineer on Riot’s AI Enablement team, you are a technical force multiplier. You will embed directly with any team at Riot to accelerate their adoption of modern AI development (e.g., generative AI, LLMs, reinforcement learning). Operating as part of an elite, highly mobile strike team, you will build production-ready AI integrations, develop robust developer tools, and level up partner engineers through side-by-side collaboration. Once a team is empowered and systems are successfully handed off, you will deploy to the next challenge. You will be at the forefront of cutting-edge AI in the game industry, bridging the gap between new technologies and live environments to shape how Riot develops products and games. You will be accountable to Riot’s Head of AI Product. Responsibilities: - Implement and Integrate: Lead the technical execution of integrating modern AI practices into existing engines, tools, and pipelines. - Embed and Accelerate: Deploy onto partner teams across Riot to break down complex AI implementation problems, establish technical direction, and deliver scalable, highly performant solutions. - Mentorship and Handoff: Train and coach embedded team engineers through pair programming, technical reviews, and hands-on collaboration. Ensure a seamless transition of code ownership before deploying to your next assignment. - Evangelize Best Practices: Share engineering best practices, security guardrails, and performance standards for AI usage across Riot’s development ecosystem. - Build Foundations: Identify when industry-standard tools are insufficient and develop new foundations, middleware, or APIs to connect AI research with practical development. - Manage Ambiguity: Actively navigate highly complex, uncharted technical spaces, communicating trade-offs and building consensus among engineering and product leadership. Required Qualifications: - BS in Computer Science (or equivalent experience) with 8-12 years of software engineering experience. - Extensive experience with systems integration, technical leadership, and early-stage software development. - Deep programming proficiency in C++ and at least one other language (e.g., Python, C#). - Shipped at least one AAA game or large-scale, high-concurrency live service product. - Proven track record of managing high ambiguity, setting technical strategy, and leading multi-month/year initiatives. - Practical experience utilizing, integrating, or building modern AI tools, APIs, or infrastructure. Desired Qualifications: - Experience extending or developing within Unreal Engine (C++). - Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) or LLM orchestration. - Background working on shared engine technology, central tools, or platform engineering teams. - Familiarity with the Runeterra and VALORANT IPs. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Principal Machine Learning Engineer (Personalizati...
Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop data-powered products. As a Principal Machine Learning Engineer on the Publishing Platform Data team, you will define and drive the modeling architecture that powers personalization, matchmaking, and social experiences across Riot’s player ecosystem. You’ll partner closely with Product, Data Engineering, and Software Engineering to transform large-scale social graph, matchmaking, and behavioral data into adaptive, fair, and player-centric AI systems. Your work shapes how players connect, discover communities, and experience matchmaking that feels meaningful and equitable. Responsibilities: - Define and lead the modeling architecture for personalization, matchmaking, social graph recommendations, and player/community discovery. - ‘Architect multi-model systems combining skill, preference, trust, and safety signals for fair and meaningful matchmaking - Develop models for skill inference, player behavior prediction, trust & safety signals, and multi-objective optimization across fairness, latency, and experience quality. - Build and optimize real-time inference systems for personalized content, store offers, matchmaking, and player interactions at global scale. - Drive adoption of advanced modeling approaches including contextual bandits, reinforcement learning, graph ML, and session-aware personalization. - Partner with Data Engineering and Product to shape data schemas, feature pipelines, telemetry standards, and model observability across the ML lifecycle. - Define Responsible AI standards and implement fairness audits, bias mitigation, transparency, and safety mechanisms for matchmaking and social systems. - Lead post-launch evaluations of algorithmic impact on player sentiment, community health, and ecosystem stability. - Set organization-wide standards for model optimization (latency, throughput, memory), multi-model orchestration, and drift detection. - Mentor senior ML engineers and data scientists, influencing system design, experimentation strategy, and modeling craft across organizations. - Represent the ML discipline in cross-functional design reviews, driving alignment on technical decisions, data contracts, and long-term strategy Required Qualifications: - 10+ years in ML/Applied AI; 3+ years in principal/staff-level technical leadership. - Experience with large-scale, real-time ML systems (recommendations, personalization, matchmaking). - Expertise in graph ML, RL, and representation learning. - Proficiency in PyTorch, TensorFlow, JAX, and modern data/serving tools (Ray, Kafka, Flink, Redis). - Strong grounding in A/B testing, experiment design, and experience metrics. - Track record of setting ML strategy and standards across teams. Desired Qualifications: - Professional background in gaming, player modeling, or social ecosystems. - Experience with trust & safety, toxicity detection, or community health models. - Familiarity with Vertex AI, SageMaker, or internal large-scale inference systems. - Experience integrating ML systems with live-service game backends. For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: - Safeguarding confidential and sensitive Company data - Communication with others, including Rioters and third parties such as vendors, and/or players, including minors - Accessing Company assets, secure digital systems, and networks - Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Data Scientist
As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do - Discuss with stakeholders requirements for analysis - Run exploratory data analysis and turn it into questions which can be answered with analytical techniques - Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems - Communicate results clearly and effectively - Take care of unclear and ambiguous requirements - Communicate complex ideas and analyses in a simple way - Work independently on complex projects - Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science - Be able to use diverse data science tools and approaches What we're looking for - A degree or equivalent work experience in data driven field - Ability to use visualization techniques for communicating data and analysis - Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. - R/Python experience - Knowledge and experience of SQL Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Senior QA AI Engineer
At Aristocrat, we deliver world-class entertainment through advanced gaming technologies and unforgettable play experiences. Our passionate team thrives on creativity, collaboration, and driving outstanding quality in our products. As a Senior QA AI Engineer, you'll be instrumental in rebuilding our QA approach by incorporating AI solutions to improve our quality processes. This role is pivotal to ensuring flawless execution and reducing risks across our gaming platforms. You'll join a dynamic team with the freedom to experiment and innovate, backed by a global leader in the gaming industry. This is your chance to build the future of QA in a company that values ambition and proven success! What You'll Do - Explore, configure, and evaluate AI tools for issue detection, code change analysis, product risk identification, and QA workflow improvement. - Build practical AI-assisted quality checks for merge requests, peer reviews, continuous integration workflows, and product change validation. - Assess how new code changes align with existing code patterns, product behavior, known risks, and historical defects. - Validate AI-generated findings from a QA perspective, ensuring they are useful, explainable, actionable, and not excessive noise. - Help define AI-assisted quality gates for Core application repositories and support their gradual rollout in CI workflows. - Translate QA knowledge into prompts, workflows, playbooks, checklists, and evaluation criteria that can scale across teams. - Partner with developers, QA engineers, automation engineers, architects, product managers, and QE Champions to embed quality earlier in the lifecycle. - Identify high-value AI-for-QA use cases across regression analysis, impact assessment, exploratory testing support, and release risk evaluation. - Run structured experiments to measure the efficiency of AI quality checks and improve them based on real outcomes. - Contribute to QA ownership shift initiatives, including quality playbooks, scorecard baselines, and product-team quality enablement. What We're Looking For - 5+ years of professional experience in software quality assurance, with strong hands-on experience testing sophisticated products, platforms, games, or large-scale applications. - Senior-level QA judgment, including significant risk analysis, exploratory thinking, defect investigation, regression assessment, and release quality evaluation. - Keen passion for AI and direct experience employing AI tools to boost analysis, investigation, documentation, testing, code insight, or routine workflows. - Familiarity with Git workflows, pull requests, code reviews, CI/CD concepts, SDLC practices, and modern engineering collaboration. - Ability to distinguish meaningful quality risks from low-value AI noise and challenge AI outputs critically. - Strong communication skills, with the ability to explain quality risks, AI findings, and improvement opportunities clearly to technical and non-technical collaborators. - Comfortable working in ambiguous areas where processes, tooling, and success criteria are still being defined. Nice to Have - Experience in gaming, Unity-based products, live operations, backend systems, APIs, logs, databases, or complex client-server architectures. - Basic scripting, automation awareness, timely engineering, AI agents, static analysis, quality gates, QA metrics, or experience crafting QA playbooks and scorecards. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
ML/AI Engineer
At Aristocrat, we are advancing gaming technology with modern, powerful solutions. Our mission is to bring happiness to life through play. We value collaboration, creativity, and a strong passion for excellence. We seek an ambitious ML/AI Engineer to join our team. You will help improve our AI capabilities and craft the future of our products. This role offers a chance to work on mature machine learning systems and pioneering AI technologies. You will make a real difference in our products and players' experiences. What You'll Do - Deploy machine learning models that support game features, player experience, and operational efficiency. - Improve the code quality of others' work by refining SQL and Python scripts for data transformation, feature engineering, modelling pipelines, and AI app, thereby ensuring production readiness. - Explore and contribute to early-stage projects involving LLMs, RAG systems, and agentic AI to power new types of automation and decision support. - Develop or refine Streamlit-based tools (or alike) that present ML/AI capabilities to non-technical users via intuitive and interactive interfaces. - Help build and implement model monitoring systems to ensure long-term performance and business alignment. - Collaborate with teams across product, data, and engineering to identify where ML and AI can bring value. - Communicate results, limitations, and recommendations clearly across technical and business collaborators. What We're Looking For - 5+ years of experience applying machine learning to real-world problems, from data to deployment. - Strong Python skills and hands-on experience with ML Python libraries. - Solid SQL expertise and experience working with large data warehouses. - Comfort working with cloud platforms (e.g., GCP, AWS, Azure), Docker, and Airflow. - Ability to build simple user interfaces (e.g., Streamlit) to expose ML models or AI applications to wider teams. - Hands-on experience building applications with Generative AI (LLMs), including API integration. - Interest or early experience in RAG systems—whether through prototypes, side projects, or professional work. - Interest or familiarity with agentic AI concepts or frameworks (e.g., LangChain agents, CrewAI) is a plus, but not a must. - Curiosity, initiative, and a desire to learn and grow in a fast-evolving space. - Degree in a relevant technical field or equivalent experience. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Technical Lead - AI Specialist / Automation Engine...
At Aristocrat, we're on a mission to bring happiness to life through the power of play. We believe our innovative and inclusive culture drives our success. We're committed to making a positive impact in the gaming industry. As a Technical Lead - AI Specialist / Automation Engineer, you'll have the chance to develop the future of our AI-based tools and platforms. You will make a significant impact within our engineering, creative, and quality assurance teams. This is an outstanding opportunity for someone passionate about using modern technologies to improve our workflows and deliver world-class gaming experiences. Join our ambitious team and help us continue to raise the standard in responsible gameplay and sustainability! What You'll Do - Cross-Functional AI Tooling: Partner with Dev, Creative, and QA leads to identify operational bottlenecks and engineer tailored AI solutions. - Build and prioritize custom graphics tools to capture and multiply both static and animated art assets. These tools ensure they closely match our studio's outstanding art style. - Architecture & Development: Build, test, and deploy internal AI applications, custom web portals, and Slack/Teams bots using modern LLM APIs. - Workflow Automation: Build end-to-end automated pipelines connecting software systems like Jira, GitHub, and CMS using orchestration frameworks. - Prompt Engineering & Fine-Tuning: Develop, evaluate, and optimize complex system prompts and workflows for high-quality outputs. - Evaluation & Maintenance: Monitor tool performance, manage API cost optimization, mitigate model hallucination, and ensure strict data privacy and security compliance. Domain-Specific Impact Areas - For Dev & Math Teams: Automate tasks such as summarizing technical documentation, generating boilerplate code, and AI-assisted code reviews. Develop specialized AI tools to assist with complex math tooling and game balancing. - For Creative Teams: Build asset-generation pipelines, automated game rules generation, and tools to generate themes that help Artists/Animators scale content securely. - For QA Teams: Build agents that parse acceptance criteria to generate comprehensive test cases, automate synthetic test data generation, generate submission documents, and categorize bug reports. What We're Looking For - Experience: 5+ years in software engineering, with at least 1.5+ years of hands-on experience building production-grade AI/LLM applications. - Specialized Expertise: Strong experience with art and animation pipelines is highly favorable. - Programming: Proficiency in Python or TypeScript/Node.js. - AI Ecosystem: Deep familiarity with LLM APIs, orchestration frameworks, and Vector Databases. - Integrations: Proven track record of working with REST APIs, webhooks, and SDKs for various platforms like GitHub, Jira, Figma, Adobe, Slack, and Teams. Soft Skills & Approach - Product Approach: Ability to interview internal users, translate their difficulties into technical requirements, and build intuitive UX/UI. - Ambiguity Champion: Comfortable working in a rapidly shifting AI landscape, evaluating new frameworks, and picking the right tool for the job. Qualification - Education: Computer Science Education (B.Tech/BE/MCA). Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V - World Leader in Gaming Entertainment - Robust benefits package - Global career opportunities Our Values - All about the Player - Talent Unleashed - Collective Brilliance - Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Data Scientist - Principal
Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games. What You'll Do - Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. - Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. - Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting. - Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. - Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. - Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment. - Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. - Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights. - Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization. - Serve as a reliable collaborator throughout the organization, promoting data-informed decision-making and enabling business units to embrace data products. - Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators. What We Are Seeking - Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice. - Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. - Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. - Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. - Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). - Industry knowledge: Experience in gaming or digital entertainment is a strong plus. Why Product Madness ? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.
Machine Learning Engineering Manager - Ads Engagem...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team overview: The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. This role offers a unique opportunity to shape and scale Reddit’s Ads prediction models, in alignment with our product goals and driving SoTA modeling advancement. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Responsibilities: - Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives. - Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. - Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence. - Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. - Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Candidate Profile: The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have: - People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth. - Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives. - Drive Technical Execution: Oversee the model development lifecycle from ideati
Data Scientist, Core Data - PhD (2026)
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company. This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions - Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques - Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives - Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously - Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery - Drive data quality, accessibility, and the democratization of data across the organization We’d love to hear from you if you have: - PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning - Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships - Ability to communicate technical concepts clearly to both technical and non-technical audiences - A curious and rigorous mindset, with a passion for translating research into real-world impact While it’s not required, it’s an added plus if you also have: - Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems - An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features - A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments At Figma,
Data Scientist, Finance
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have never been more important. At the same time, Figma's business continues to evolve through new products, AI-powered offerings, acquisitions, and emerging revenue models. We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business. This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy—helping shape how Figma measures and communicates its performance as the company scales. The data and systems built by this team directly support executive decision-making, public company reporting, and Figma's long-term growth strategy. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics - Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership - Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams - Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data - Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance - Define, measure, and operationalize key financial and operational metrics - Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability <
Staff Data Scientist - Experimentation & Measureme...
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Data Scientist - Experimentation & Measurement San Mateo, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: - Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. - Mentor and guide other Data Scientists, providing thought leadership and technical direction. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. - Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. - Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. - Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. - Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: - Bachelor’s degree or equivalent. - 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL and Python for data extraction, transformation, and analysis. - Broad and applied knowledge of statistical techniques. - Experience with machine learning modeling is a plus. - Proven ability to influence product and business decisions through clear, actionable insights. - Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: - Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. - Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $212,200 - $318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Staff Data Scientist - Experimentation & Measureme...
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: - Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. - Mentor and guide other Data Scientists, providing thought leadership and technical direction. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. - Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. - Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. - Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. - Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. asic Requirements: - Bachelor’s degree or equivalent. - 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL and Python for data extraction, transformation, and analysis. - Broad and applied knowledge of statistical techniques. - Experience with machine learning modeling is a plus. - Proven ability to influence product and business decisions through clear, actionable insights. - Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: - Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. - Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $212,200 - $318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Data Scientist - Platform Economics & Simul...
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. Understanding why those players spend, stay, and engage is a complex causal problem, and one the Player Value Science team exists to solve. We explain what drives value, where it is created or missed, and what to change, so growth can be created and protected. This role is the causal and economic core of that mission. Most analytics can tell you what happened; we're hiring someone who can rigorously explain why value moves, and turn that understanding into sharper decisions. You'll spend your time on two linked problems: explaining the economics of the platform (what drives revenue, retention, and engagement, and what to do about it), and building the simulation and offline-evaluation tooling that lets us test decision policies before we scale them. The team is both reactive and proactive: bringing proposals that turn causal understanding into incremental value, and responding when the platform needs answers. You'll work with a high degree of autonomy on ambiguous problems, and you'll be measured on the commercial decisions your work changes, not on model metrics alone. What You'll Do: - Explain why value moves across revenue, retention, and engagement, through value decomposition, cannibalisation and substitution analysis, meta-analysis across our models, and clear strategic trade-off framing. - Apply causal reasoning to understand our own models and players: why a model behaves as it does, whether an observed effect is incremental or displaced, and what genuinely drives lifetime value. - Build offline policy evaluation and simulation tooling that lets the platform identify the content, players, and policies that create incremental value, and stress-test decision policies before they scale. - Guide model development across the team, raising the standard of causal and economic thinking through review, mentoring, and example. - Turn causal understanding into concrete proposals, and respond with rigorous answers when the platform needs them. - Communicate assumptions, methods, and conclusions clearly enough that senior technical and commercial audiences can act on them with confidence. What We're Looking For: - You think in counterfactuals. You instinctively separate incremental effect from what would have happened anyway, and you reason naturally about substitution, cannibalisation, and the economics of a content platform. A background in economics, econometrics, or a similarly causal quantitative discipline is a strong fit. - Proven industry experience turning causal and economic understanding into decisions that changed commercial outcomes, in areas such as customer value, retention, pricing, or decisioning. - Depth in causal methods used to explain and understand systems: treatment-effect estimation, uplift, structural or counterfactual reasoning - The ability to build, not just analyse: you can implement models, simulation, or offline-evaluation environments and take them to production. - Strong judgement on when a sophisticated approach is warranted versus a simpler one that answers the question. - Experience owning ambiguous problems end-to-end: framing the question, choosing the approach, and delivering something the business acts on. - Fluency with large, complex behavioural datasets and the craft to work with them at scale: Python, SQL, and distributed processing (e.g. PySpark), plus standard ML tooling as the work requires. - Excellent stakeholder communication: you can make a rigorous causal argument land with a non-technical commercial audience and move a decision. - A strong quantitative academic background, typically a Master's or PhD. Nice to Have: - Experience with incrementality and uplift modelling, or with experimentation frameworks. - Reinforcement learning or contextual-bandit decisioning, and offline evaluation for recommendation or decisioning systems. - Background in gaming, e-commerce, or subscription businesses. - Experience deploying and maintaining business-critical or consumer-facing models. - Experience working in agile, fast-paced environments. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Data Scientist
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Data Scientist, Product Usage & Value Lens (SBG / PBG Finance Partnership) At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. Our Player Value Science team turns understanding of value mechanics into incrementality: we explain what drives value, where it is created or missed, and what to change, so growth can be created and protected. As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence high-stakes commercial and portfolio decisions at scale. Working closely with stakeholders across Finance, Strategy and Platform, you will work on complex and often ambiguous problems with a high degree of autonomy to shape how data informs strategy and investment decisions through a deeper understanding of player behaviour, product usage, and long-term value. This role combines deep technical expertise with strong commercial judgement. You will own the problem definition and approach, and success will be measured not only by the quality of your work, but by the adoption and impact on business outcomes. What You'll Do - Design and deliver advanced modelling approaches that quantify player value, incremental impact, and long-term platform value, applying techniques such as causal inference, forecasting, optimization and machine learning where appropriate. - Measure the incremental effect of launches, investments, and external market events, isolating true impact from what would have happened anyway, and translating that into an actionable understanding of where value is created. - Build optimization and scenario models that inform long-range planning and investment decisions under real-world constraints. - Own ambiguous problem spaces, and break down complex business challenges into tractable, measurable solutions. - Partner closely with cross-functional teams across Finance, Strategy and Platform to ensure value-driving products are robust, trusted and adopted, helping stakeholders understand how to recognise and attribute impact. - Evaluate and select modelling approaches based on problem context, balancing rigour, performance, scalability, interpretability, and business impact. - Mentor other data scientists and contribute to best practices across the team. - Communicate complex modelling approaches, assumptions and outcomes clearly to technical and non-technical audiences, including Finance leadership. What We're Looking For You combine technical depth with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on ambiguous, high-value problems, using data to deepen PlayStation's understanding of its players and its portfolio, and inform decisions and strategies that drive sustainable growth. - Proven industry experience delivering impactful, decision-grade analytical and modelling solutions in areas such as customer value, incrementality, forecasting, or investment decisioning. - Experience with optimization or operations research approaches (for example resource allocation, scheduling, or constrained planning problems), or a strong quantitative foundation to pick these up quickly. - Strong grounding in causal inference and impact measurement, with the judgement to critically assess assumptions, recognise when correlation is not enough and select approaches that are proportionate to the problem being solved. - Experience owning projects end-to-end, from problem definition and selecting methods through to delivery and business adoption. - Ability to work with large, complex datasets and translate them into scalable, trustworthy solutions. - Exceptional stakeholder management and communication skills, with a track record of influencing commercial or finance partners and communicating results persuasively to both technical and non-technical audiences. - Proficiency in Python and SQL, and comfort across the modern analytical and ML tooling ecosystem; experience with PySpark or equivalent distributed data processing tools. - A strong quantitative background, typically a Master's or PhD in operations research, machine learning, statistics, economics, or a related field. Nice to Have - Background in gaming, e-commerce, or subscription-based businesses. - Experience partnering with Finance or commercial functions on portfolio, investment, or impact-attribution problems. - Industry experience with experimentation frameworks and causal inference. - Expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. - Experience working in agile, fast-paced environments At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $167,200 - $250,800 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Technical Director - AI Roblox Studio
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Roblox Studio is the creation engine behind millions of immersive 3D games built by creators around the world. We are entering a major platform transition, evolving Studio into an AI-Native IDE where intelligent systems plan, act, validate, and iterate alongside creators to amplify their output. We are seeking a Technical Director, Applied AI to own the technical direction of the agentic AI systems embedded deeply into Roblox Studio. This is a hands-on individual-contributor role operating at the intersection of platform engineering, AI systems, and developer experience, where you will set the technical direction, design the architecture, and write the code. You will: - Design and build the agentic AI systems at the core of the AI-Native IDE (planning, execution, validation, evaluation) so they are production-grade and reliable. - Decide how Studio uses coding models, agents, retrieval, tool calling, and context management across the Assistant and the broader creator workflow. - Own the quality bar and evaluation strategy , standing up quantitative and qualitative eval pipelines, including human-in-the-loop, so we ship with confidence. - Optimize these systems for latency, throughput, and cost (caching, routing, distillation, quantization). - Bring reusable patterns and best practices to teams across Studio, raising the applied-AI fluency of Studio engineering. You have: - 12+ years of engineering experience , including ownership of large-scale, long-lived platforms. - Deep, hands-on experience building LLM-powered and agentic systems in production, beyond chat-based interfaces. - Strong systems and software engineering skills , with the ability to design the architecture and write the code. - A track record of defining evaluation frameworks for AI product quality, combining automated metrics with human review, and optimizing inference for latency, throughput, and cost. - Strong background in developer tools or IDE-like platforms, with a proven ability to set technical direction and raise quality across multiple teams as an individual contributor. - Preferred Qualifications: Background in coding models or code-generation systems, and/or research experience in reinforcement learning (RLHF, RLAIF, preference modeling) or related model-training techniques. You are: - An innovative technical leader who wants to build the AI systems that power the creativity of millions. - Product-minded , with a real understanding of developer needs, creator workflows, and how AI systems land in the user experience. - Adaptable and curious , with good judgment about when to build, when to reuse, and when to push a need back to a model team. - Able to operate at the deepest technical levels and still communicate direction clearly to partners. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $399,420 - $457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Talent Business Partner, Early Career - AI/...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As the Senior Talent Business Partner - AI/ML PhD on the Early Careers Recruiting team, you will be a driver for cultivating and converting the next generation of exceptional AI/ML technical talent . We’re looking for a PhD Recruiting expert to support Roblox’s ML and AI engineering growth as well as create and scale programs that are not just operationally excellent, but are a competitive differentiator, modeling the caliber of talent acquisition found at the world's most ambitious technology and AI companies. You Will: - Own the end-to-end technical recruiting pipeline for PhD AI/ML roles including full-time and internships, helping to define the process as a scalable, distributed system that must maintain a high quality bar under extreme volume. - Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, NLP, computer vision, and infrastructure automation. - Relentlessly monitor recruiting health metrics to translate complex data into actionable insights and strategic recommendations with hiring partners. - Act as a talent business partner to executive leadership, hiring managers, and cross-functional teams (PBPs, People Analytics, Engineering) to forecast needs, secure resources, and influence hiring velocity and quality. - Design, implement, and continuously refine scalable, end-to-end PhD hiring programs that deliver an outstanding, human-centered candidate experience from first touchpoint through conversion and onboarding. - Partner with leaders and cross functional partners to execute the PhD strategy including ML conferences, campus strategy, academic collaborations, and creative outreach strategies. - Serve as a subject matter expert on AI/ML PhD market trends and innovative sourcing techniques. - Ensure that operational excellence is at the forefront of your process - influencing and improving processes to help the team work smarter, faster, and at scale. You Have: Required Qualifications - Progressive experience with 6+ years of full-lifecycle technical recruiting experience in a fast-paced environment, with a focused track record in Technical or University Recruiting - Proven ability to manage high-volume pipelines, delivering quality results while championing a best-in-class candidate experience - Proven capability to use data to drive decisions; strong proficiency in understanding recruiting data models, measuring ROI, and influencing strategy, ideally within a globally-recognized tech company (e.g., AI/ML, SaaS, Gaming, or similar competitive sectors) - Experience acting as a strategic thought partner to technical leadership — bringing structured insights on global AI/ML talent dynamics and shaping long-term hiring strategies - A strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation - Ability to travel up to 25% to college campuses for various recruiting events (career fairs, info sessions, conferences) - contingent on health regulations Preferred Qualifications - 1+ year of demonstrated success hiring talent as research scientists, ML engineers, applied AI practitioners, and data leaders in highly competitive markets experience recruiting - Deep familiarity with the academic landscape and research trends in Artificial Intelligence, Machine Learning, and Systems - Experience in mid to large scale early career recruiting programs - ML/AI Events and Conference strategy and engagement preferred - Experience managing an internship program preferred This position is open to remote. There is no hard requirement to be hybrid out of our HQ office. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits shown on this page are applicable to this temporary position. Monthly Salary Range $13,271 - $16,719 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Software Engineer, Machine Learning (Commun...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically and proactively work to detect, remove, and prevent problematic content and behavior. We seek to influence and shape the product roadmap and prioritization, build safety products, and measure our impact on the community of users and developers. In doing so, we help keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world. Why Text Safety? As a Senior Engineer you will play a key role in advancing large-scale AI systems that strengthen text safety and integrity. You’ll leverage cutting-edge ML models to build intelligent tools to curate high-quality training and evaluation data to train machine learning models. These systems will continuously refine and enhance model performance, enabling proactive detection and mitigation of safety risks across the platform in real time. In this role, you’ll work closely with cross-functional teams of engineers, product managers, policy experts, and safety specialists to turn complex safety challenges into scalable, impactful solutions. You’ll establish best practices and technical standards that define the next generation of safety AI, ensuring the platform remains secure, inclusive, and resilient. Your contributions will directly empower robust, AI-driven moderation and detection systems that foster a safe and positive experience for all users. You Will: - Design, build, and own critical components of the AI based text safety components, with a focus on usability, reliability, scalability, and performance. - Implement robust AI service to ensure text quality on all Roblox properties (Avatar, Game Description etc.). - Advance our AI systems infrastructure by developing strong frameworks and APIs to support the text filtering needs for hundreds of clients in Roblox. - Partner with cross-functional teams of engineers, product managers, policy experts, and safety specialists to to deliver scalable data and AI solutions to power next-generation safety systems. - Develop text safety quality metrics and eval tooling to support the continued quality iteration over time. - Stay current with emerging technologies and push forward innovation in AI space to enhance user and platform safety. You Have: - 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments. - A graduate degree or equivalent experience in Computer Science, Engineering, or a related technical field. - Strong communication skills and a collaborative, solution-oriented approach to problem solving. You Are: - Data & System Oriented: You understand that robust data and systems are the foundation of any production applications, and you design infrastructure for scale, correctness, and reliability. - Collaborative: You thrive in cross-functional teams, partnering effectively with Product and Engineering to solve complex challenges. - Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows. - Impact Driven: You focus on outcomes - prioritizing product impact, reliability, and measurable success over code volume or complexity. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $260,300 - $312,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Product Designer, AI Models
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an AI Model Designer to join our team and become the bridge connecting our AI research innovations with world-class design principles. In this unique role, you'll help us teach our models how to be better copilots for designers. You'll work across all our products to improve our AI models' design capabilities and oversee evaluation quality. This is an exciting opportunity to shape the future of design. As an arbiter of craft and taste, you’ll help raise the ceiling for what designers can create with AI and shape the future of design tools. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Collaborate closely with AI researchers to improve model performance from a design perspective - Develop and document design principles and heuristics that can be used by our AI systems - Build thorough methods to test and enhance the quality of AI-generated outputs - Oversee the quality of our design evaluations and give guidance to external partners - Be the bridge between the AI research team and designers, translating technical details for designers and design concepts for AI experts We’d love to hear from you if you have: - Experience developing design heuristics and design principles - Experience leading design efforts for a suite of products or working on features that span multiple product lines - Experience using AI models for design tasks, either coding or image models - Proven track record in managing complex projects that involve collaboration across different teams and organizational boundaries - Experience managing contractors and multiple projects on tight timelines - Strong design background with excellent taste and attention to detail While it’s not required, it’s an added plus if you also have: - Background in creating or evaluating AI-generated designs - Operational mindset with ability to improve processes - Technical understanding of AI/ML concepts and how they apply to design - Comfort navigating ambiguity and shaping open-ended challenges into clear goals - Strong communication skills for explaining complex concepts to both technical and non-technical stakeholders At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hu
Senior Product Manager, AI Content Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Every day, Roblox users play over 7M experiences, make over 270M avatar updates, send 6+ billion chat messages and talk for 1+ million hours using voice. Safety is Roblox’s top priority. As part of the Safety Group, the Content and Communications Safety team builds AI features and tools to automate review and moderation of all of these activities on the platform. Areas that the Content Safety Team works on include: - Experience reviews - The components that make up those experiences (textures, 3D meshes, models, scripts) - Avatars, Avatar items - Audio, Video - Text chat and voice conversations - and other content types As a Senior Product Manager on the team, you will work closely with leadership, product, engineering, data science, and operations teams across Roblox. In addition, you will drive critical company-level KPIs that affect how Roblox keeps the platform safe and civil. As we bring new immersive features and content types to Roblox, you will be responsible for leading the product in one of the most challenging and vital roles at Roblox. You will - Lead safety features focused on automation of content reviews by leveraging AI - Stay one step ahead of malicious actors and their adversarial tactics - Work across many modalities of Machine Learning (image, text, audio, video, 3D, code) - Ensure our users have a great experience end to end when they are creating content on the platform - Solve problems that are unique in the industry due to the large population of younger users on Roblox - Prepare and manage product requirements from conception to launch - Balance input from a wide variety of internal stakeholders and partners with potentially competing priorities and timelines You have - 5+ years of experience in product development roles - Experience in building and deploying AI-based solutions at a large scale and in real time - Experience in Trust & Safety related functions or other areas with adversarial dynamics. Preferably in a user generated content environment - Understanding of social platforms (familiarity with game engines would be a plus). - Extreme clarity in communication. Ability to summarize complex situations in a few sentences and effectively articulate your vision to c-staff level executives, cross functional partners, and other key stakeholders - Dynamic and flexible mindset, creating opportunity out of uncertainty and ambiguity For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $280,540 - $330,950 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior/Principal Platform Engineer, ML Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Will: - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. You Have: - 5+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - Proficiency in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field. You Are: - A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands. - Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions. - You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices. - A clear communicator who excels at both written and verbal communication across differing levels of technical detail. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $277,170 - $343,340 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior / Principal Infrastructure Engineer - ML Pl...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As an Infrastructure Engineer on the ML Platform team, you will design, scale, and maintain the foundational infrastructure powering our entire machine learning ecosystem. We are looking for accomplished engineers to spearhead the development of our next-generation ML tooling and platform capabilities. You will: - Bootstrap and maintain Kubernetes and Cloud infrastructure for ML Platform components--Serving Layer, Metadata Store, Model Registry, and Pipeline Orchestrator. - Set technical strategy and oversee development of high scale and reliable infrastructure systems. - Propose and implement new platform tooling to improve time to production for MLEs and Data Scientists across the full ML lifecycle. - Work on infrastructure projects such as GPU fleet management, hybrid-cloud orchestration, and writing custom Kubernetes controllers and resources. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. - Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use. You have: - 6+ years of professional experience and a tool chest of system design experience upon which to draw to build scalable, reliable platforms. - Deep experience with Kubernetes (K8s) and cluster management at scale — e.g., managing 100s–1000s of nodes, serving 100k+ QPS, and ideally having experience writing custom Kubernetes controllers. - Strong proficiency in Infrastructure as Code (IaC), specifically using Terraform to bootstrap, manage, and automate cloud infrastructure across AWS, GCP, or similar environments. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field or equivalent practical experience. You are: - Proficient in DevOps tooling such as Docker, Kubernetes, CI/CD systems, and bootstrapping cloud infrastructure (AWS, GCP, etc.) - Experienced with the end-to-end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - An automation advocate: you're passionate about infrastructure-as-code and automating painful manual processes. - A reliability nut: you love digging into tricky postmortems and identifying weaknesses in complicated systems. - Passionate about supporting internal partners (data scientists and ML Engineers) to meet and understand their needs. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $278,530 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior / Principal Data Scientist - Discovery
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? Roblox is not just a platform; it is a complex, two-sided marketplace where millions of creators meet over 70 million daily active users. The Discovery Experiences team is the technical heartbeat of this ecosystem. We own the surfaces—Home, Search, Matchmaking, and Notifications—that determine how users navigate the metaverse. As a Data Scientist , you will own the ranking initiatives that power these canvases. You aren't just building models; you are building the economic and social frameworks that decide which experiences thrive. You will report directly to the Senior Director of Data Science and serve as a high-visibility IC leader driving the roadmap for our most critical consumer touchpoints. You Will: - Algorithmic Vision: Lead the development of ML solutions and ranking frameworks that power our discovery canvases. You will move beyond local optimizations to solve for long-term ecosystem health and user retention. - Strategic XFN Partnership: Act as the primary scientific advisor to Product and Engineering leaders. You will use data to inform, drive, and accelerate innovations via deep-dive insights and ML prototypes. - Causal Inference & Experimentation: Leverage advanced causal inference methodologies to measure the effectiveness of platform initiatives (e.g., social features or site-wide events) that are often susceptible to complex network effects. - Foundational Scaling: Develop frameworks to scale the hypothesis generation process, ensuring that our experimentation velocity matches our massive growth. - First-Principles Problem Solving: Apply creative, first-principles reasoning to ambiguous problems, such as balancing the visibility of established "top tier" experiences with the discovery of new, niche UGC content. You Have: - Advanced degree (Masters or PhD) in a quantitative field (Statistics, CS, Physics, Applied Math, or Economics). - 10+ years of experience (or 6+ with a PhD) in Data Science, Economics, or ML Engineering, specifically within large-scale recommendation systems or UGC content platforms . - Expert in the modern data stack (Python, R, SQL, Hive, Spark, Airflow) and have a deep theoretical and practical understanding of Deep Learning. - Ability to design sophisticated experiments that account for the nuances of a two-sided marketplace and social network effects. - Ability to distill high-dimensional problems into succinct, actionable narratives for non-technical executive audiences. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $307,430 - $373,680 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning Engineer, User Behavior
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why User Behavior? As a Senior Machine Learning Engineer for User Behavior, you will build the proactive detection and behavioral intelligence systems that fundamentally shift how Roblox responds to unsafe behavior, from reactive punishment to early, education-first intervention. You will own the ML foundation for a new capability at Roblox : identifying users at risk of becoming chronic violators before they escalate, and powering the adaptive consequence systems that give them a real chance to change. This is a rare opportunity to build a user-level behavioral intelligence capability that will define how Roblox understands and responds to risk at scale. You will feel a deep sense of responsibility in building systems that directly affect millions of users, especially minors, on one of the world's largest platforms. Your work will reduce harm, improve fairness, and help ensure Roblox remains a place where creativity and community can thrive safely. You will: - Define and Own the ML Vision: Define and lead the multi-year ML vision, architectural strategy, and execution that identify casual violators early before they escalate, and operate reliably under real-world policy and precision constraints. - Own Behavioral Prediction Models: Develop and maintain production ML models that translate user behavioral signals into actionable risk intelligence, enabling earlier and more targeted interventions. - Build the ML Foundation from Scratch: Design the user feature store, training pipelines, and model evaluation infrastructure that underpin behavioral ML at Roblox. - Instrument Experiments for Causal Validity: Partner with XFN stakeholders to ensure A/B tests on intervention variants have proper random assignment and instrumentation for future causal model training. This data cannot be retroactively collected. - Drive End-to-End Product Development: You will not just model; you will build. You will work cross-functionally to construct datasets from scratch where none exist, build labeling pipelines, and ship solutions to various product surfaces. - Ship Code, Not Just Models: Expect to own end-to-end delivery, building and operating ML pipelines from training and offline evaluation through production serving. You will integrate your models directly into the stack alongside SWE. You have: - 5+ years of experience building and shipping production ML systems at scale. - Hands-on experience with ML classification at scale, including traditional ML models, sequence modeling on user-event data, and/or LLM-based approaches, with strong intuition for model evaluation on real-world data. - Proficiency designing and maintaining feature pipelines and feature stores for behavioral or event-driven data. - Experience building embedding-based retrieval systems (ANN / vector search) in production. - Experience building and operating end-to-end ML pipelines: training, offline evaluation, A/B experiment hooks, and production serving infrastructure. - Strong understanding of ML experiment design, including training data validity, label quality, recall/precision tradeoffs under constrained thresholds, and causal inference fundamentals. - Nice to have: experience in Trust & Safety, user behavior modeling, or user understanding (e.g., churn prediction, engagement modeling, risk scoring); familiarity with uplift/causal ML; sequence models on user-event data. You are: - A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear, compelling, and actionable technical strategy. - A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress. - Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. - An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers. - An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership. - Committed to Ethical AI: Dedicated to building ML systems that are fair, transparent, and operate with the utmost responsibility toward user safety and platform civility. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning Engineer, Reliability
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Reliability? Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale. The Reliability team at Roblox operates at the depth and breadth of the Roblox stack. Availability of the platform is a key company goal. We are hiring our first Senior Machine Learning engineer within our team. As a Senior Machine Learning Engineer within Reliability, you will help set the direction for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform. You will own the architectural and execution roadmap of leveraging massive data across - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR). You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software. You will: - Help define the roadmap for leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox. - Improve realtime anomaly detection capabilities by leveraging various state of the art ML techniques, thereby directly contributing to improving Mean Time to Detect Production issues. - Develop methods to build pipelines to consume various streams of data (metrics, logs, traces, change management systems etc.). - Build a reasoning layer that interacts with the streams of data to find possible root causes of problems happening in production. - Build time-series models to predict capacity exhaustion and seasonal traffic spikes to drive automated scaling You have: - Beyond off the shelf: We are looking for an expert who has knowledge of various modeling techniques, ability to to go deep and fine tune models to fit our use cases. - Ability to propose and architect the infrastructure that allows us to implement systems that learn from user and/or automated feedback. - Good distributed systems fundamentals and understanding of large scale high throughput systems You are: - Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. - A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress. - An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership. - Data & System Oriented: You understand that robust data and systems are the foundation of any production application, and you design infrastructure for scale, correctness, and reliability. - Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning Engineering Manager, Safet...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences. You Will - Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale. - Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent. - Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step. - Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready. - Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders. - Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives. - Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges. You Have - 5+ years of experience building large-scale machine learning systems in production environments. - Proven track record of designing, developing, and launching ML models from scratch into production. - 2+ years of hands-on experience with vision language models or other foundation model technologies. - Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale. - Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces. - Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact. - Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals. - High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members. - Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines). - Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning. You Are - Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact. - An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team. - A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact. - Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations. - Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus. - Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute. - Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning Engineer, Ads
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking experienced machine learning engineers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will develop deep learning-based models for performance advertising business. Your work will lay the foundation to deliver effective performance ads to our users, and more business values to our advertisers. You will build innovative machine-learning solutions to power ad ranking algorithms, and personalized advertising experiences. With our ads system still in its early stages, this is a unique opportunity to shape and develop a world-class, ML-driven advertising platform from the ground up. You Will: - Drive the design and implementation of machine learning solutions for ad ranking algorithms. - Design and implement large scale recommendation models - Author specs for new features and improvement - Collaborate with other teams within Roblox to make sure we are building products with a community first approach. - Balance researching new technologies with a practical approach to accomplish the research efforts into the Roblox products - Communicate with the industry and communities where applicable and be ambassador for Roblox. You Have: - You have 5+ years of experience designing and building scalable machine learning solutions to solve real-world production use cases. Experienced with transformer based model training, inference, and product integration are a plus. - A BS in Computer Science or a related discipline, advanced degrees are a definite plus. - You have initiated and facilitated challenging technical decisions across multiple teams and organizations. - While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers. - You take a creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $259,030 - $311,430 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning - Avatar, Core AI
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Machine Learning Engineer, you will work on challenging problems leveraging state-of-art AI/ML to empower a new generation of Roblox experiences for our growing community of users. We are looking for senior AI/ML engineers to lead the vision of low compute cost, in experience machine learning at Roblox, taking leads on designing core components of on-device ML operations. We are designing a system for advancing model architecture, enabling more efficient deployment to cloud and client, while delivering on complex operations including Generative AI model deployment. The engineer will be driving the architecture optimization across a large range of compute devices, making efficient use of available compute resources. Join us in our exciting journey! You will: - Develop and implement state-of-the-art ML models - Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve the model performance - Establish a pipeline for delivering Roblox ML model on range of computing devices - Build cross-functional partnership on deployment and architecture optimization - Design and implement primary components of the in-experience machine learning system. You have: - - 2+ years experience in developing machine learning models, preferably in image, video, audio or 3D representations with Python - A strong understanding of deep learning frameworks including PyTorch and Tensorflow. - Experience in shipping ML features in production environments, including low powered devices. - Excellent cross-functional skills, partnering with organization leaders, driving to a conclusion. - Knowledge in state-of-the-art deep learning network architectures and primitives. - Experience with model optimization techniques. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $195,780 - $242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Hardware Engineer - GPU & AI Infrastructure
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a member of the Infrastructure Foundation Hardware Engineering team, you will play a key role in enabling our mission to deliver a reliable, high-performing, and cost-efficient infrastructure that powers the world’s play. In this specialized role, you will be the technical lead for our GPU and AI accelerator ecosystem. You will be responsible for the full lifecycle of GPU hardware, from initial architectural evaluation and firmware qualification to large-scale fleet integration and performance tuning. You will ensure that Roblox’s massive-scale rendering and ML workloads run on the most optimized and stable hardware possible. You Will: - Architect & Prototype: Prototype next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware. - GPU Optimization: Drive the integration, performance testing, and debugging of GPUs in our fleet, focusing specifically on hardware-level optimizations, driver tuning, and thermal/power management. - Validation & Certification: Develop and execute rigorous evaluation and stress-testing strategies for GPU-heavy server platforms to ensure they meet Roblox’s unique demands for real-time rendering and low-latency AI inference. - Firmware & Systems: Lead firmware qualification (BIOS/BMC) and troubleshooting, implementing automation systems to manage GPU health, firmware updates. - Vendor Collaboration: Provide technical guidance and deep-dive feedback to hardware vendors. Lead critical investigations into component-level failures, triaging issues across the hardware, driver, and kernel layers. - Observability: Build and maintain advanced monitoring stacks (Grafana/Prometheus) to track GPU metrics like HBM utilization, thermal throttling events, and PCIe bandwidth saturation. You Have: - Education: BA/BS Degree in Electrical Engineering, Computer Engineering, or related field with equivalent practical experience. - GPU Expertise: 5+ years of hardware engineering experience with a specific focus on GPU architecture (NVIDIA HGX/MGX platforms preferred), AI accelerators, or high-performance compute (HPC) systems. - Deep Technical Knowledge: In-depth understanding of modern data center technologies, including PCIe fabric, NVLink, InfiniBand, and liquid cooling systems for high-TDP hardware. - Testing Skills: Hands-on experience testing and validating CPU, Memory (HBM/DDR5), Storage (NVMe), and high-speed networking subsystems in a Linux environment. - Programming: Proficiency in Python, Go, or C++ for developing hardware validation tools and automation scripts. - Systemic Debugging: Expert-level skills in debugging complex server issues remotely, with the ability to analyze kernel logs, hardware registers, and bus-level captures. You Are: - A Problem Solver: Decisive and effective at tracking hardware issues from identification through to fleet-wide resolution. - A Communicator: Excellent oral and written communication skills; able to translate complex hardware constraints into actionable insights for software teams. - Collaborative: Strong interpersonal skills with the ability to lead cross-functional projects with Data Center Ops, SRE, and external vendors. - Adaptable: Willing to travel occasionally to data centers or vendor sites to oversee hardware deployments or "first-of-a-kind" builds. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Engineering Manager, AI Safety Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Senior Engineering Manager, Safety Platform You will lead engineering pods within the Safety Platform organization, driving the technical vision and execution for the foundational systems that power every safety workflow at Roblox. You will own the core safety platform end-to-end: from the shared infrastructure and APIs that enable trust & safety capabilities across the company, to the tooling ecosystem that empowers internal operators to investigate, intervene, and resolve issues at scale. The scope also includes the Safety agentic platform — AI-powered systems that automate and augment safety workflows across detection, enforcement, and review pipelines. As the platform layer beneath every safety surface, your work will define how quickly and reliably Roblox can respond to emerging threats. This role requires a leader with a strong platform mindset who can balance technical rigor with broad organizational impact — working across User Safety, Trust & Safety Policy, Data Science, and Machine Learning to deliver scalable, extensible, and high-availability systems for one of the world's largest platforms. You Will: - Lead and Develop: Recruit, hire, mentor, and inspire a diverse team of exceptional engineers. Cultivate a collaborative and inclusive environment that promotes professional growth. - Ensure Technical Excellence: Establish and maintain rigorous standards for technical quality. Ensure the team delivers reliable, scalable, and secure solutions in adherence to Roblox's engineering principles. - Foster Cross-Functional Collaboration: Partner with product managers, designers, and other key stakeholders to comprehend business objectives and translate them into robust technical solutions. - Contribute to Strategy: Participate in the development of the overall capture and sharing strategy. Identify opportunities for innovation and expansion, and strategically prioritize projects that maximize value for our user base. - Champion Continuous Improvement: Instill a culture of ongoing learning and improvement within the team. Encourage experimentation, knowledge dissemination, and the adoption of new technologies. You Have: - Demonstrated experience as a leader of successful engineering teams responsible for building new product or platform features. - Strong analytical and problem-solving capabilities to deconstruct complex challenges into manageable components, coupled with the requisite project management skills to drive projects to successful completion. - A long-term strategic perspective, balanced with the practical ability to implement timely, short-term solutions to launch systems and gather user feedback, informing superior long-term planning. - Experience developing consumer-facing applications, supported by a strong platform-thinking mindset. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $345,040 - $399,420 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Data Scientist - Machine Intelligence (Crea...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization’s mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and creators. WHY CREATOR SERVICES? At Roblox, the Creator Services team enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence , you will bridge the gap between high-tier engineering infrastructure and cutting-edge ML applications. You will be the primary strategic partner to product and engineering leadership, transforming unstructured data into actionable business insights and user-facing products. This is a "zero-to-one" environment. You will be tasked with creating standards for entirely new data formats and building the analytical frameworks that define how machine learning drives creator success and platform sustainability. You Will: - Lead ML-Driven Transformation: Act as the lead data partner to engineering and product leadership, shaping roadmaps for ML products by translating technical approaches into interpretable, movable metrics. - Model Unstructured Data: Develop sophisticated ML models for unstructured data—including text, images, and video—to improve product measurement and external user experiences. - Own data workflows end-to-end: Drive work from ideation through data collection, pipeline development, and modeling, to produce outputs that inform leadership decisionmaking. - Design Causal Frameworks: Design complex experiments to quantify the impact of foundational service updates and AI-driven features on the broader Roblox ecosystem. - Translate Technical Wins into Business Value: Bridge the gap between deep-tier engineering metrics and high-level business impact. Own the narrative that helps stakeholders understand how service improvement drives creator success and platform sustainability. You Have: - Advanced Academic Background: A BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field. - ML Expertise: Proven experience in ML modeling on unstructured data (text, images, video) and the ability to turn these models into useful data products. - Strategic Influence: A demonstrated ability to influence senior leaders through clear narratives and decision memos on complex technical topics. - Comfort with Ambiguity: Experience in environments where no standard data formats exist - NLP Knowledge: Familiarity with measuring translation quality and assessing feedback loops. - Technical Mastery: Expert-level knowledge of statistics, A/B testing, and causal inference in complex, mediated settings - Engineering Fluency: The ability to grasp complex system architectures, data flows, and high-throughput schemas. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $221,380 - $263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Data Scientist - Growth Measurement
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY GROWTH MEASUREMENT? In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report to Senior Data Science leadership on the team. You Will: - Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies - Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions. - Contribute to the development of a robust data infrastructure to support user growth. - Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights. - Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership. You Have: - A MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. - 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation. - Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design. - Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. - Experience in the gaming industry and/or multisided marketplaces. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $220,300 - $262,380 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Data Scientist - Family Experience
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY FAMILY EXPERIENCE? Family Experience sits at the intersection of safety, product, and growth. The team is building systems that help parents engage confidently in their child’s Roblox experience, while also enabling access to important features that increasingly require parental consent in regulated markets. This role is an opportunity to shape a fast-evolving product area with meaningful user and business impact. You will help make parent linking and consent flows simpler, improve parent engagement and perception, and be a strategic leader in product direction that strengthens both trust and growth for families and regulators globally. You Will: - Shape the Family & Experiences roadmap with strategic data science guidance across parent linking, consent, and parent engagement. - Identify and size the highest-impact levers to improve parent links, engagement, and consent rates. - Design and evaluate features across onboarding, linking, verification, consent, and Family Hub experiences. - Apply experimentation and causal inference to understand how parent engagement influences child and family outcomes. - Define success metrics and measurement frameworks for launches, funnels, and long-term product health. - Partner with Product, Engineering, Policy, Legal, and UX Research to turn ambiguous problems into clear decisions. - Translate friction points in the parent journey into actionable product recommendations. - Communicate insights to leadership and cross-functional partners to drive prioritization and tradeoff decisions. You Have: - 5+ years of industry experience in data science, economics, analytics, or machine learning engineering - 2+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - Knowledge of ML and Deep Learning either via formal training or industry experience - Ability to apply creative first-principles reasoning to solve ambiguous problems - Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content - Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $221,380 - $263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Data Scientist, Engine Systems
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ENGINE Systems? Engine Systems team builds the foundational systems for networking, servers, asset loading, and data management, all working in harmony to deliver stable and engaging experiences. This role will focus on the System foundation that provides low level technology to enable efficient development of Roblox itself and the games within it. We build profiling support, concurrency, memory management, scalability systems, and crash reporting. We manage the user experience in real-time and monitors device constraints (like a low-end phone vs. a high-end PC) and adjust graphics and performance on the fly. You Will: - Define Reliability & Stability Metrics – Work on system metrics telemetry logging and validation. Establish key performance indicators for Engine systems such as crash rates, runtime error codes, and quality metrics that directly impact creators and players. - Transform & Visualize Data for Actionable Insights – Access and process raw telemetry data, build robust analytics pipelines and deliver clear insights. Help develop solutions that allow the Engine to intelligently scale quality up or down, ensuring that every player—regardless of their hardware—has a smooth, interactive, and immersive experience. - Design Experiments & Apply Causal Inference – Lead A/B experiments and causal analyses to identify performance opportunities, understand the trade-offs between system stability and other quality factors, measure improvements and feature launches to ensure data-driven decision-making. - Drive Cross-Functional Collaboration – Partner closely with Engineering, Product, Technical Program Managers, and teams across Roblox (e.g., Creator Analytics, Growth, Infrastructure, and Economy) to explore new opportunities and navigate ambiguous problem spaces. - Shape the Future of Roblox’s Foundation – Influence how Engine systems evolve, help deliver a scalable, high-performance, and creator-empowering platform. You Have: - Advanced degree or equivalent experience in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis. - 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimization. - Expertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reporting. - Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause. - Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment. - Direct experience with game engines or systems performance preferred - Experience in game development or working on real-time interactive systems preferred - A background or interest in memory management, or OS-level interactions preferred LI-FO1 LI-Onsite For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $221,380 - $263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Data Scientist, Creator Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and creators. WHY CREATOR PLATFORM? At Roblox, the Creator Platform team is responsible for the systems that determine how creators build, publish, earn, and thrive on the platform. As a Senior Data Scientist, you will be the primary strategic data partner across some of the most business-critical and safety-sensitive areas in the creator ecosystem — including creator reputation, publish gating, anti-abuse, rewards, data foundations, and AI enablement. This is a high-ownership, high-autonomy role. You will work across trust & safety, measurement, data infrastructure, and AI-enabled analytics — owning end-to-end problem framing, model development, and executive-facing recommendations in areas that directly shape platform integrity and creator success. You Will: - Own Creator Reputation & Publish Gating: Serve as the primary DS owner for the Creator Reputation Model and Good Standing score — ML systems that estimate creator trustworthiness and gate publishing access for new or alt accounts before they accumulate creator history. Maintain and improve the auto-approval model for DevEx requests. - Build & Maintain Anti-Abuse Models: Lead anti-abuse modeling for creator rewards and creator analytics, ensuring the integrity of creator incentive systems and identifying bad actors at scale. - Drive Creator Data Foundations: Serve as DRI for core creator data infrastructure — documenting all key creator tables, designing trustworthy data contracts, and building the semantic layers and analytical frameworks that enable reliable self-serve analysis across the team. - Enable Agentic & AI-Powered Analytics: Lead DS AI enablement for the creator org — building skills, evaluation frameworks, and scalable AI-enabled workflows that reduce analyst toil and elevate the team's analytical capacity. - Own Creator Analytics Reporting: Define top-line success metrics and own measurement for creator analytics, providing leadership with a clear, consistent view of creator health and platform performance. - Support Creator Store & Select: Provide coverage for Creator Store safety scores, store metrics, and asset usage analysis. Serve as a dedicated DS partner for Select, helping shape how we open access to early-stage creators as creator reputation becomes a core input to eligibility. - Create Zero-to-One Frameworks: Define analytical standards and measurement approaches for new, ambiguous product areas — translating complex technical systems into interpretable, movable metrics for product and engineering leadership. You Have: - Seniority & Breadth: High Senior or Principal-level DS experience, with a track record of owning complex, cross-functional data problems end-to-end — from problem framing and data infrastructure through modeling, experimentation, and executive communication. - ML & Trust/Safety Chops: Proven ability to build, evaluate, and maintain ML models, especially for trust & safety, anti-abuse, or reputation systems. Experience with ecosystem or marketplace settings is a strong plus. - Experimentation & Causal Inference: Strong statistical rigor, experimentation design, and causal inference skills — ideally applied in complex, mediated settings where simple A/B tests don't tell the full story. - Data Foundation Expertise: Ability to contribute to the data foundation layer for AI — including table documentation, semantic layer design, data contracts, and trustworthy infrastructure for AI-enabled analysis. - AI for Analytics: Deep understanding of agentic and self-serve analytics use cases, including how to turn DS workflows into scalable, AI-enabled products. Familiarity with evaluation frameworks for AI outputs. - Technical Depth: Expert-level SQL and Python, with enough engineering fluency to work effectively across data pipelines, model outputs, and production-facing systems. - Communication & Influence: Excellent written and verbal communication skills; able to translate technical findings into clear product and business recommendations for senior stakeholders. - Comfort with Ambiguity: Experience operating independently in zero-to-one environments — defining the problem, building the data, and owning the answer without a playbook. - Technical Leadership: Ideally, someone who can raise the bar for adjacent DS workstreams through mentorship, code review, and cross-functional partnership. - Academic Background: BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $263,670 - $322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Data Scientist - Consumer Frontend
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY CONSUMER FRONTEND? Consumer Frontend’s team mission is to deliver the frontend architecture, components, libraries, navigation patterns, and core UI necessary for a high-quality, performant, intuitive, and observable consumer user experience for gaming and all future use cases. One of the focus areas is UX Excellence through Standardization, where the goal is to maintain a comprehensive library of high-quality components and navigation patterns that ensure a consistent and intuitive experience across all consumer surfaces. As a Data Scientist on the team, you will partner with engineers, product managers, designers, and leaders across the company to shape the future of user navigation, discovery, and interaction across the Roblox app. This includes helping define and evaluate foundational information architecture, navigation systems, and cross-surface user experiences, while also contributing to the measurement strategy for emerging AI-enabled workflows that accelerate how user experiences are designed, built, tested, and iterated. This area is pivotal to Roblox’s long-term success, directly impacting user engagement, retention, and the overall quality of the consumer experience. You will define KPIs and measurement frameworks for navigation efficiency, content discoverability, user friction, and UX quality, and leverage analytics, experimentation, and statistical rigor to influence product decisions and drive continuous improvements to the usability and effectiveness of the Roblox app. You Will: - Define and measure the success of Roblox’s information architecture, navigation systems, and core user experiences. Develop metrics and frameworks that quantify navigation efficiency, information discoverability, user friction, and overall UX quality. - Develop a deep understanding of user journeys, navigation behaviors, and user intent across the Roblox app. Identify opportunities to improve how users discover content, navigate between surfaces, and accomplish their goals, and translate those insights into product strategy and UX improvements. - Establish decision-making frameworks for evaluating trade-offs across user journeys, surfaces, and product objectives. Help teams understand the downstream effects of navigation and information architecture changes, balancing local optimizations with the health and effectiveness of the broader consumer experience. - Leverage experimentation, causal inference, and statistical modeling to evaluate platform-wide initiatives and cross-surface UX investments. Design rigorous approaches to measurement in environments where traditional experimentation may be challenging. - Partner closely with Product, Engineering, Design, and Data Science leaders across Consumer Apps and adjacent organizations to influence product strategy and shape the future of how users navigate and interact with Roblox. - Perform deep-dive analyses and build scalable measurement frameworks that enable teams to monitor UX health, identify regressions, uncover emerging opportunities, and make data-informed decisions at scale. You Have: - An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field. - 5+ years of industry experience in Data Science or a related quantitative discipline, preferably in consumer-facing products or consumer applications. - Strong analytical and technical skills, including experience working with large-scale datasets and proficiency in SQL and Python/R. - Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to influence product strategy and business outcomes. - Demonstrated ability to independently drive ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks and solutions. - Experience partnering cross-functionally with Product, Engineering, Design, and leadership teams to shape strategy, prioritize investments, and drive organizational alignment. - Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear, actionable insights for both technical and executive audiences. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $263,670 - $322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Analyst, AI Workflows & Automation
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As an AI Workflow Specialist on the Trust & Safety Operations team, you will be the bridge between product , operations , and other relevant teams. You will be required to create workflows , using AI to design, prototype, and scale high‑impact automations. You will translate operational pain points into well‑designed AI workflows, partner closely with product and engineering, and build the evaluation frameworks that ensure these automations are safe, reliable, and measurable. You Will: - Partner with the Subject matter experts across the Support Ops and Shared service teams to understand the current gap and brainstorm on the desired solution. - Map and document existing workflows to identify high‑leverage automation opportunities and clearly define “current vs. future state.” - Design AI‑augmented workflows that combine LLM agents, existing rules engines, and human review to improve speed, quality, and consistency - Prototype and iterate AI solutions using internal and external (accepted) tooling (e.g., Claude and other LLMs, internal agentic/AI workflow platforms, and Builder AI code intelligence) to turn workflow designs into working agents or automations. - Define success metrics and evaluation plans (e.g., automation rate, handle time reduction, error/rollback rate, reviewer satisfaction) and build or integrate with eval pipelines to measure agent performance over time. - Partner with product, engineering, and operations to prioritize use cases, scope requirements, and align AI workflows with product roadmaps and control/compliance expectations. - Operationalize launches : contribute to playbooks, runbooks, and training so that operations teams can use AI agents confidently and understand when and how to intervene or escalate. - Continuously improve workflows by monitoring performance, surfacing insights, and iterating on prompts, policies, routing, and UX to keep systems robust as volumes, abuse patterns, and regulations evolve. - Champion safe and secure AI usage , partnering with security and compliance stakeholders to ensure AI workflows respect data handling, access controls, and regulatory constraints, especially as AI workloads increase. You Have: - 5+ years of experience in technical operations, data science/analytics, or product/engineering roles, with at least 2+ years working directly with workflow automation , rules engines , or tooling for operations teams . - Demonstrated experience designing, implementing, or maintaining complex business workflows - Strong technical fluency : comfortable reading and writing simple scripts or code (Python or similar), working with APIs, and collaborating closely with engineers to ship workflow changes and integrations. - Hands‑on experience with LLM‑based tools (e.g., Claude) or other AI platforms, including prompt design, evaluation, and iteration to improve quality and reliability. - Strong analytical skills , with experience defining metrics, building dashboards or analyses, and using data to make prioritization and design decisions. - Excellent cross‑functional communication skills; able to translate between operations, product, engineering, and finance, and to write clear specs, runbooks, and status updates. Good To Have: - Experience in Trust & Safety, compliance, or risk‑sensitive workflows (e.g., safety queues, fraud, government or law enforcement requests, regulatory reporting). - Prior work evaluating AI agents or automation quality (e.g., building eval suites, gold‑label sets, or reviewer workflows to monitor agent decisions). Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
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