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Principal Machine Learning Engineer, Content 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 Content Safety? As a Principal Machine Learning Engineer for Content Safety, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions, focused on critical and ambiguous safety challenges. You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning for content moderation. You will own the architectural and execution roadmap of massive-scale ML systems that mitigate violative UGC content before it impacts our community. You will feel a deep sense of responsibility in proactively protecting our community thoughtfully and fairly, while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for our broad community of over 100 million daily active users. You will: - Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale. - Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. - Lead Innovation: Oversee the adoption and safe deployment of innovative machine learning techniques (e.g., transfer-learning, self-supervised learning, quantization, LoRA, distillation). - 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 auto-labeling pipelines, and ship solutions to solve novel technical problems. - Ship Code, Not Just Models: Expect to spend roughly 30-40% of your time on backend and integration work . You will be responsible for integrating your work into the production stack, leveraging modern AI coding tools (e.g., Cursor) to accelerate velocity and handle infrastructure complexity You have: - 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment. - A proven track record of successfully setting the long-term technical direction for an entire ML domain, demonstrating the ability to take ambiguous problems from concept to scaled production impact. - Deep expertise in advanced ML architectures and techniques, including Computer Vision (CV) and/or Vision-Language Models (VLMs) - Expertise in architecting scalable, real-time ML inference services and robust data pipelines - Demonstrated success in leading and resolving high-stakes, cross-functional conflicts and technical disagreements, with an ability to build consensus among diverse stakeholders. - Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable, iterative technical roadmap. 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 $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.
[2026] Senior Machine Learning Engineer, Recommend...
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. Recommendation Systems are a key growth lever at Roblox, driving retention, engagement, and monetization for hundreds of millions of users. This role offers the unique opportunity to redefine how users search and discover everything from the most interesting immersive experiences and digital avatars in our Marketplace to personalized advertising. You will solve a diverse range of high-scale ranking, retrieval, and personalization problems across our platform. We combine cutting-edge research —including deep learning, generative AI, and reinforcement learning techniques— with large-scale engineering to bridge experimentation and production; you'll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content. Teams Hiring for This Role - Search and Discovery: powers major recommendation surfaces—conducting cutting-edge research in generative modeling, multimodal and MLLM technologies, designing advanced agentic AI algorithms to solve business requirements while achieving technical breakthroughs. - Notifications: owns the distributed systems and ML platform that transform billions of Roblox signals into high‑value notifications for hundreds of millions of players. - Economy: builds the ML backbone for marketplace, monetization, and commerce (including fraud, pricing, and bundling) - Ads & Brands: focuses on ranking, retrieval, and marketplace/auction theory to optimize sponsored content delivery. - Safety, Alt Defense: architects a massive-scale detection engine that identifies recidivist bad actors across billions of accounts to ensure the long-term integrity of the Roblox community. You Will - Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces — experiences, avatars, and creator content. - Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI. - Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation. - Translate research into production systems that impact hundreds of millions of daily active users. - Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth. You Have - Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas. - Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs) - Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms (e.g., sparse/linear attention). - A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS) - Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems. Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process. 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.
Principal/Senior Machine Learning Scientist - Sear...
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 researchers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will innovate on LLMs, VLMs, autoregressive models, or other large models for user understanding, content understanding, recommendation, and agentic search. Your work will lay the foundation for personalizing user experiences, enhancing engagement and retention, and driving growth within the creator ecosystem. In search and discovery, you will contribute to the core systems that enable users to discover and interact with experiences across Roblox. These systems drive exploration and engagement across all surfaces, helping users find relevant and exciting content. Looking ahead, our team aims to innovate further by developing auto-generated summaries, images, and videos from experience content to improve discoverability and inspire user exploration. Our mission is to connect a billion users with the best content and connections at the right time, tackling diverse challenges in advertising, search, and discovery at an unprecedented scale. Join us and play a pivotal role in shaping the future of Roblox’s search and discovery. You Will: - Design and implement the machine learning solutions that power agentic search and discovery systems to drive Roblox content distribution. - Design and implement large scale recommendation models. - Design and implement LLMs and VLMs for visual understanding and natural language understanding. - Balance researching new technologies with a practical approach to integrate research efforts into the Roblox products. - Collaborate with other teams within Roblox to make sure we are building products with a community first approach. - Communicate with the industry and communities where applicable and be ambassador for Roblox. You have: - You have 7+ (for principal) or 4+ (for senior) years of experience designing and building scalable machine learning solutions. Experienced with transformer based model training, inference, and product integration. Break down product requirements into iterative deliverable stages. - You have a BS, MS, or PhD in Computer Science or a related discipline or equivalent experience. - 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. - 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 $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 Gameplay AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you will play a critical role on a small and focused team. You will be responsible for core AI features and supporting collaborative development between programmers, designers, and artists. You will have opportunities to work on various initiatives, get hands-on with cutting-edge technologies, and work with talented internal and external teams, all while building impactful experiences from concept to delivery. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and iterate rapidly while ensuring that strong technical and algorithmic decisions are made - Drive, build and maintain core AI systems shared in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, Animation, etc.) - Excellent C++ skills and the ability to code and develop AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, great work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
[2026] Senior Machine Learning Engineer, AI Platfo...
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. The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems, and Generative AI Information Retrieval. You Will As a Senior Machine Learning Engineer on the AI Platform team, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. You will focus on one of three high-impact tracks: Track 1: AI Platform Projects - Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox. - Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable. You Have - Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas. - Experience with high performance distributed systems, ML Infrastructure, LLM fine tuning/RL, Information Retrieval and Gen AI context generation. - Expertise in one or more of the following key areas: - AI/ML Platform Data stores - Features stores, Vector DBs and Knowledge Graphs. - LLMs - Fine tuning, Safety. - Agentic systems - Agent evaluation, context engineering. - Experience building agentic applications with context for real world applications. - Collaborative mindset and experience integrating and deploying optimized models with cross-functional teams, including data scientists and software engineers. - Experience with graph databases and large-scale GNNs (Graph Neural Networks) - Experience working with Kubernetes - Experience working with one or more cloud providers (e.g., AWS, Azure, GCP) - Experience working with high availability systems - Experience working with ML models, LLMs or other AI systems You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process. 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 Machine Learning Engineer, Economy
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 on the Economy ML team, you will build models that power ranking, personalization, pricing, and optimization across Roblox’s economic surfaces, including Marketplace, Developer Monetization, and Payments. Your work will directly shape how users discover virtual items, how creators earn, and how the platform grows sustainably. The Economy ML team is building the machine learning backbone for Roblox’s virtual economy—from intelligent pricing and personalized storefronts to dynamic layout optimization and avatar content understanding. We partner closely with Marketplace, Payments, and Developer Monetization to deliver ML systems that drive long‑term value across engagement, retention, and creator earnings. You will: - Work backwards from ambiguous product problems to design and ship end‑to‑end ML solutions for ranking, recommendation, pricing, and content understanding across Economy surfaces. - Build and iterate on deep learning retrieval and ranking models that personalize item and widget ordering across the Marketplace and other shopping experiences. - Develop models and policies that optimize pricing, conversion, and revenue while balancing ecosystem health, payer experience, and creator success. - Own the full ML lifecycle for your projects: data exploration, feature engineering, model design, training, evaluation, and production deployment on Roblox’s ML platform. - Design and run robust experiments (A/B tests and multi‑cell experiments), tying your work to core metrics such as engagement, bookings, and creator earnings. - Partner cross‑functionally with Product, Backend, Data Science, Design, and other Marketplace / Economy teams to define roadmaps, requirements, and success metrics for ML‑driven features. - Ensure the systems you build are scalable, reliable, observable, and extensible , including setting best practices around logging, monitoring, and on‑call readiness for ML services. - Contribute to the technical direction of the Economy ML team: help refine our modeling stack, experimentation strategy, and approaches to long‑term reward optimization across the economy. - Mentor other engineers on ML best practices, code quality, and experimentation, helping raise the technical bar of the broader Economy organization. You Have - BS, MS, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field—or equivalent practical experience building ML systems. - Experienced: 5+ years experience with one or more of the following areas: search, recommendation, personalization, pricing, or content understanding systems for a high‑scale product. - Fluent in the ML lifecycle: Comfortable taking a problem from messy data and product ambiguity through modeling, evaluation, and stable production deployment, including building and maintaining data pipelines and feature stores. - Deeply product‑oriented: You think in terms of impact on users, creators, and the business, and you can reason clearly about how model choices affect metrics like LTV, engagement, conversion, and creator earnings. - Technically strong in modern ML: Hands‑on experience with deep learning for ranking/retrieval, representation learning for text and/or vision, and large‑scale training/inference on distributed infrastructure. You Are - Experiment‑driven: You are comfortable designing experiments, diagnosing metric movements, and iterating quickly while maintaining statistical rigor and healthy guardrails for the ecosystem. - Collaborative and low‑ego: You enjoy working closely with engineers, Product Managers, Data scientists, and designers across Marketplace, Payments, and Developer Monetization, and you can drive alignment in complex, multi‑stakeholder environments. - Creative and strategic: You take a long‑term view of the Roblox economy, are comfortable challenging assumptions, and can balance quick wins with foundational investments in data, infrastructure, and modeling quality. 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.
Principal Machine Learning Engineer, Embodied AI a...
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 Principal Machine Learning Engineer within the Creator Services Machine Intelligence team, you will focus on the research and development of Embodied AI and Behavioral Agents that revolutionize how games are created and played on Roblox. You will bridge the gap between cutting-edge research and massive-scale product application, building agents capable of complex 3D gameplay and unblocking many use cases across Roblox, from automated playtesting to ensure quality, to "Smart NPCs" with human-like movement and strategic reasoning, playing with real players in games. You will work on Imitation Learning (IL), Reinforcement Learning (RL), Computer Vision, Computer Graphics, Robotics, and Agentic Reasoning to create generalizable agents that can perceive 3D environments, understand game rules, plan long-term strategies, and execute complex physics-based actions. You Will: - Report to the Engineering Manager of Creator Services Machine Intelligence. - Design and implement foundation models for embodied agents that master both fluid, human-like movement and high-level strategic reasoning. - Define the long-term roadmap for Game AI and Embodied Intelligence, acting as a technical bar-raiser for code quality and architectural design. - Balance the exploration of cutting-edge deep learning research with the practical constraints of serving models to millions of concurrent users. - Mentor fellow engineers and researchers, fostering a culture of technical excellence and scientific inquiry. - Collaborate with Product Managers, Backend and Game Engine Engineers and other Roblox team members. You Have: - PhD or Master’s in Computer Science, Applied Math, or other field. A record of top-tier publications (e.g., NeurIPS, ICML, CVPR, AAAI, SIGGRAPH, etc) in embodied agents or related domains is a plus. - 7+ years of experience as a Machine Learning Engineer or Research Scientist, applying research to tangible products. - Deep technical understanding of Imitation Learning, Robotics, Reinforcement Learning, Computer Graphics and Vision, with experience working on low-latency motor control (human-like movement) and high-level strategic reasoning (game rules/goals). - Proficiency in Python (PyTorch/TensorFlow) and familiarity with C#, C++, or similar systems languages. - Experience training models on large-scale distributed clusters and understanding the challenges of inference in real-time gaming environments. - A passion for bridging the gap between research and production, moving beyond academic benchmarks to launch scalable solutions that directly impact millions of users. 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.
Distinguished Engineer, Machine Learning 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. At Roblox , we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems , with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. Why Roblox for ML Systems - AI/ML is a top company priority , with long-term investment. - Real-world scale : Power millions of daily economic interactions across ranking, pricing, fraud, and search. - Full-system ownership : Build and optimize end-to-end ML pipelines; from data ingestion to GPU training to live inference. - Complex surfaces, rich signals : Design systems for 3D content, UGC, avatar metadata, behavioral and economic signals, not just text or images. - Impact meets innovation : Shape the future of the Roblox economy while working on frontier ML infra and GenAI workflows. You will: - Set the technical direction for ML systems powering core economy experiences: personalization, ranking, generative modeling, and more - Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows) - Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces Lead efforts to optimize ML system performance: low-latency serving, efficient GPU training, and cost-aware inference strategies - Guide the development of robust ML pipelines, online feature stores, and experimentation platforms that support both predictive and generative use cases - Collaborate with EMs, tech leads, and product partners to align technical architecture with business priorities - Mentor senior engineers and help establish a strong technical culture across the Economy ML team - Ensure robustness, observability, and scalability of ML systems that power millions of daily economic interactions - Own the architecture behind some of Roblox’s most foundational ML systems - Work across groups at Roblox to advance the state of ML/AI at the company. - Help scale a fast-growing ML organization and define Roblox’s future economy intelligence stack - Solve real-world problems with real user impact, powering millions of personalized, intelligent economic interactions every day You have: - 10+ years of experience in software engineering or ML infrastructure, with a strong focus on large-scale ML systems - Deep expertise in building recommendation systems, ranking infrastructure, or real-time personalization engines - Hands-on experience with Generative AI, such as transformer-based models, LLMs, embeddings, or RAG pipelines - Proven experience with distributed training, model deployment, and GPU-accelerated workflows - Strong understanding of ML system architecture: data pipelines, feature stores, inference optimization, experimentation tooling - Systems-first mindset with strong instincts around scale, cost, performance, and reliability - Track record of leading large technical initiatives and mentoring senior engineers - BS, MS, or PhD in Computer Science, Machine Learning, or a related 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 $397,460 - $455,720 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.
Software Engineering Manager, AI/ML - VALORANT
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.
People Data Scientist
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. The People Science & Analytics team at Roblox partners with our People, Places, & Systems organization to apply data science, applied statistics, and analytics to our internal operations. We deliver insights and solutions that shape Roblox's approach to leadership, people development, and organizational culture. As a Data Scientist in the People Analytics pod, you will join this team to solve complex challenges using qualitative and quantitative data, driving strategic decisions across the company. We are responsible for developing and managing Roblox’s HR data warehouse, analytical tools, and reports which support data-driven HR initiatives and are used by internal stakeholders throughout the company. You will: - Serve as an analytics consultant to key partners in HR, Talent Acquisition, and Finance where you will apply your expertise in data science, applied statistics and analytics engineering to build tooling and identify insights that drive strategic and operational improvement - domains located below. - Conduct end-to-end analyses on large, complex datasets to diagnose operational challenges, tell a compelling story, and provide actionable recommendations to executive leadership. - Design, build, and maintain data products and automated workflows that scale our team's analytical offerings and support our partners' long-term needs. - Uphold a high standard for data integrity and analytical rigor, working through ambiguity to produce clear, defensible insights. You have: - A MBA / Master's degree, PhD, or equivalent experience in Data Science Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. - 4+ years of professional experience with SQL. - 4+ years of statistical programming in R/Python and/or analytics engineering experience in Python - 4+ years of professional experience with BI Tools (Tableau, Looker, Hex, etc.) - Proven ability to execute complex and cross functional projects from ideation through completion. - Strong interpersonal skills and the ability to work through ambiguity to delivery on projects that have driven organizational change. - Proven ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs. - Highly self-driven and intellectually curious with a growth mindset focused on maximizing organizational impact. - A consistent track record to learn quickly and works well both independently as well as in a team setting. At least two or more of the following: - 2+ years of experience with enterprise HR/People data systems (e.g., Greenhouse, Workday, Qualtrics) and/or experience working with non-technical operations teams. - 2+ years of experience in causal inference, experimental design, and statistical modeling. - 2+ years of experience with data orchestration and transformation tools (e.g., Airflow, dbt) and deploying data pipelines. People Analytics Domains at Roblox - Talent Acquisition - Employee Performance Programs - Workforce Planning - People Data Governance - Facilities and Office Planning - HR Operations - Partnering with Internal Tooling to build people products - Building our People Datalake 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 $184,760 - $242,180 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.
[2026] Senior Machine Learning Engineer, Engine Op...
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. Our engine’s resource management and streaming systems are critical to delivering a smooth, stable, and responsive experience for Roblox users across a huge range of devices and network conditions. These systems work together to intelligently allocate compute, memory, bandwidth, and rendering quality while dynamically delivering world content in real time as players move, explore, and interact. The challenges span highly dynamic environments, unpredictable user behavior, and opaque signals from device and OS constraints. This role offers a rare opportunity to pioneer the application of machine learning in real-time engine optimization. You will establish the ML framework for predictive resource allocation and content fetching, replacing heuristic-based logic with adaptive, data-driven decision-making. Your work will directly shape stability, visual quality, responsiveness, and content delivery across billions of global play sessions. You Will - Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap. - Design ML models that infer player and interaction patterns for predictive resource management and content delivery. - Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or latency. - Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms. - Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale. You Have - Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, or real-time optimization. - Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems. - A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them. - A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process. 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.
Principal Machine Learning Engineer, Communication...
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 detect, remove, and prevent problematic content and behavior. In doing so, we keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world. Why Safety AI Systems? As a Senior/Principal Machine Learning Engineer for Safety AI Systems, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions. This role is a fusion of a Principal Engineer's technical authority and an Engineering Manager's leadership, focused on the most critical and ambiguous safety challenges. You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning—from high-velocity text filtering to leveraging multimodal Generative AI—to combat the most complex critical harms on the platform. You will own the execution roadmap and technical planning, directly guiding the launch of high-priority new ML projects. You will be responsible for defining the standards of innovation in data quality, model robustness, and ethical deployment across the entire Content & Communication Safety ML pillar. You will lead and scale a high-performing group of individual contributors, providing both strategic oversight and hands-on guidance to the teams responsible for the architectural development of massive-scale systems that mitigate abuse and harassment before it impacts our community. You will feel a deep sense of responsibility in proactively protecting our community—thoughtfully and fairly—while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for users. You will: - Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions across Content and Communication Safety, ensuring these systems proactively and effectively detect and prevent high-severity, critical harms at massive scale. - Provide Senior/Principal-Level Architecture: Act as the highest technical authority for the Content Safety ML domain, guiding the architecture and long-term maintainability of foundational models, data pipelines, and real-time inference services. - Drive Cross-Org Alignment: Identify and champion the most ambiguous, high-leverage technical problems, driving alignment and securing investment for organization-wide ML infrastructure and platform development initiatives that benefit all of Trust & Safety. - Lead Innovation in Safety: Oversee the adoption and safe deployment of innovative technologies (e.g., advanced NLP, self-supervised learning, multimodal LLMs) to anticipate and mitigate novel abuse vectors, moving beyond reactive detection to proactive intervention . - Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. You have: - 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment. - 5+ years of experience in technical leadership, management, or mentorship roles, ideally having managed Engineering Managers or Senior/Principal-level individual contributors. - A proven track record of successfully setting the long-term technical direction for an entire ML domain or pillar, demonstrating the ability to take ambiguous problems from concept to scaled production impact. - Deep expertise in advanced ML architectures, including Large Language Models (LLMs) , transfer learning, or other foundation model technologies, especially applied to text or multimodal data. - Expertise in architecting scalable, real-time ML inference services and robust data pipelines operating at millions of requests per second. - Demonstrated success in leading and resolving high-stakes, cross-functional conflicts and technical disagreements, with an ability to build consensus among diverse stakeholders. - Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable, iterative technical roadmap. You are: - A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear, compelling, and actionable technical strategy. - An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers. - Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. - 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 $293,800 - $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 Data Scientist - Generative 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. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in 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 partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY GENERATIVE AI? Our team’s mission is twofold: to enable Roblox Creators to bring GenAI capabilities to millions of users, and to empower Roblox Creators and our own engineers with AI-backed tools to deliver value faster. We drive this innovation with a core commitment to safety, responsibility, and quality. As a Senior Data Scientist, you will play a critical role in a key area within our Foundation AI team: - Engineering Efficiency and Code Intelligence: Building the metrics, analytics, experimentation foundation, and AI workflow that powers how Roblox engineers and creators build and ship with AI and intelligent code systems. Whether you are focused on the end-user experience or the developer ecosystem, you will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements. You Will: - Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D) or internal AI Agents (Code Review, Refactor, Test Gen). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods. - Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features or AI-assisted coding tools. You will identify opportunities, measure lift, and ensure statistical rigor. - Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators—whether for GenAI safety and user satisfaction, or for engineering productivity and code health. - Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling and agentic workflows that lift rigor and efficiency across the company. - Drive Strategy & Visibility: Develop dashboards and reporting frameworks that reveal trends (e.g., model performance or developer friction) and translate complex data into clear, prioritized recommendations for leadership. You Have: - Advanced Degree: PhD or Master’s in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field. - Experience: 5+ years of experience in data science, analytics, or a quantitative role. - Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling. - Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact. - Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact. - Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field. - GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. Expertise in the model training lifecycle is a plus (e.g., fine-tuning, RLHF, or synthetic data generation). - Engineering Development Workflow: Experience with engineering development workflows and engineering efficiency data is a plus for the Engineering Efficiency and Code Intelligence role. - Applied Research Background: A track record of applied research or publications in relevant technical fields is highly valued. 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.
Principal Software Engineer - Economy ML (Data Sys...
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. Who We Are: Shape the future of Roblox’s virtual economy. The Economy ML team is building the machine learning backbone that powers Roblox’s Marketplace, Developer Monetization, and Payments ecosystems. From intelligent pricing and personalized storefronts to dynamic layout optimization and avatar understanding, we’re reimagining how the Roblox economy drives user engagement, monetization, and creator success at scale. As a Principal Software Engineer (Data Systems) , you will architect, build and deploy high-scale, reliable real-time and batch data systems for personalization, search and recommendation across various product surfaces in Marketplace, Developer Monetization and Payments. You will be involved in key data projects from architecting event taxonomies and logging interfaces to real-time feature serving across multiple search and recommendation surfaces. What You’ll Do - Act as data engineering lead for Economy ML, setting standards for batch vs streaming feature pipelines, table design, observability, and documentation used across the Economy group. - Work as a hands-on contributor on our data systems to power content recommendation, search and personalization across Economy product surfaces. - Partner with Product, Data Science and ML engineering counterparts to prioritize data initiatives that unlock top-line business goals and reduce tech debt in existing datasets and pipelines. - Mentor other DE/ML engineers on best practices for schema design, client logging, experimentation data, and feature pipelines, raising the overall bar for data work. - Collaborate with partner and platform teams across Roblox to make sure we are building products with a community first approach. - Research and leverage industry-leading practices while making product impact. You Have - 8+ years of experience as a product-focused data systems engineer (preferably working with search, recommendation, advertising or personalization systems). - Experience designing efficient logging schemas and optimizing data processing pipelines. - Experience with real-time stream processing and batch processing (using technologies such as Flink, Spark, Kafka, Druid) - Familiarity with feature stores and other machine learning infrastructure. You Are - A Technical Leader : You have initiated and facilitated challenging technical solutions. Your technical expertise influences product direction. You nurture a culture of technical excellence. - Versatile : You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation. You are resourceful, and take a creative and strategic approach to solving hard problems. - Analytical : Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - User Oriented : You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. - Team Oriented : You lift up your peers and find ways to make the team stronger. Why Economy ML @ Roblox? - Cross-surface impact: Your work will influence virtual item recommendations, Robux pricing, page layout, avatar generation, and more. - Scalable infrastructure: Build on top of Roblox’s ML Platform and Data Infrastructure to accelerate data analysis, experimentation and rapid deployment of product ML solutions. - High-leverage mission: Directly contribute to key growth levers: retention, engagement, monetization, and creator success. Flexible structure: Work in a fluid pod model, allocating effort to the most strategic initiatives without rigid silos 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 - $354,040 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 Data Scientist - Ecosystem and Learning Pla...
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 in 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 partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers. WHY ECOSYSTEM AND LEARNING PLATFORM? The mission of the Ecosystem and Learning Platform Data Science team is to empower vertical data science teams and drive data-informed decision-making at scale. We do so by collaborating with vertical data science and cross-functional partners to solve complex business problems that span multiple areas of the Roblox ecosystem, develop scalable data science solutions and tools, and advance data science methodologies. Central to our mission are platformized tools that provide comprehensive solutions for company-wide experimentation, forecasting and anomaly detection needs, integrate diverse data sources, and offer scalable, accessible data science products that yield actionable insights for product areas across Roblox. As a member of this team, you will collaborate with product data science partners to develop and support core data science and machine learning models, and build platform solutions that streamline the model development and deployment process. You will also collaborate with product data science and cross-functional partners to bring structure and innovative solutions to complex business problems. In the process, you will help build cutting-edge methodologies and tools that advance data science within our company and set industry standards. If you are a self-starter who is curious and passionate about leveraging big data to create tangible business value and thrive in a dynamic, collaborative, and innovative environment, this is the place for you. You Will: - Develop and support core data science models and production pipelines used across the business. - Support the development and operations of a centralized platform for time series forecasting and anomaly detection. - Collaborate with data science and product partners to develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify complex cause-and-effect relationships within the Roblox ecosystem. - Promote and uphold a high bar of technical excellence and enable the adoption of technical advances in data science. - Work closely with engineering and product partners to build scalable data science systems and tools. - Own the implementation and maintenance of DS self-serve tools and proactively identify opportunities to scale experimentation, causal modeling, and analytics insights through tooling and methodology. - Communicate effectively with technical and non-technical stakeholders to solve problems and influence decisions. - Cultivate strong partnerships with vertical data science teams, engineering, and product partners. You Have: - An Advanced Degree (MSc or PhD) in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. - 4+ years in developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning. - 4+ years of experience building scalable ETL data pipelines and dashboards. - 4+ years of experience in data science, machine learning, data engineering, analytics engineering or related fields. - 4+ years of experience in one or more scripting languages, such as Python. - Demonstrated ability to lead or build project areas from scratch. 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 $262,380 - $321,230 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.
Principal Machine Learning Engineer, Safety Experi...
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. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on: - Monitoring and influencing user behavior (User Safety) - Building efficient and scalable moderation platforms (Foundation) - Providing transparency and education for parents and developers (User Safety) - Giving users agency in managing their own safety (User Safety) - Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines) - Providing users fast and accurate support with the Customer Care Chatbot (Customer Care) You will: - Build end-to-end ML systems related to similarity detection and Computer Vision related classification and more - Drive the evolution of our safety experience into a scalable, adaptable system that supports dozens of customer teams with unique needs - Develop innovative detection approaches in a rapidly evolving landscape. Use a data-driven lens to think creatively, strategically, and adversarially to identify opportunities. - Shape the team's roadmap and technical direction. Drive execution, establish strong technical foundations, and mentor junior engineers. - Partner with AI Systems, PM, Data, and stakeholders across Roblox. You have: - 7+ year experience in designing and building deep learning solutions to solve computer vision problems. Capable of breaking down product requirements into iterative deliverable stages. Experience in launching computer vision models into production. - MS or PhD degree in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning. Nice to haves - Experience in anti-abuse / integrity/security domain is a plus 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 $293,800 - $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 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.
Principal Machine Learning Engineer, Engineering A...
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 Engineering Acceleration? The Engineering Acceleration AI Infrastructure Pod acts as Roblox’s center of excellence for applying AI to software engineering. We develop the Code Intelligence components of the Builder AI Platform, enabling first-party agents to automate engineering toil such as refactoring and unit test generation At Roblox, we aren't just trying to build another autocomplete tool or a basic LLM wrapper; we are architecting a Code Intelligence platform. Our mission is to move beyond simple code suggestions and into the realm of "agentic reasoning", creating a system that understands the deep, multi-dimensional context of a massive, 20-year-old engine and can autonomously handle the mechanical toil of modern development. As AI makes it possible to generate code at an unprecedented velocity, our team’s focus shifts from writing code to maintaining quality, safety, and performance at a planetary scale. We are building the reasoning layer and the "Human-in-the-Loop" (HITL) gates that ensure this AI-driven evolution doesn't compromise the stability of a platform serving 100M+ daily active users. We aren't just using the industry standard; we are inventing the new one . Joining this team means you will be a leader, bridging the gap between our AI teams, Eng Acceleration and Feature devolvement teams. We are looking for a visionary who can build platforms and first-party agents that don't just suggest code, but actually understand how to refactor, tune, and evolve the Roblox ecosystem. You Will: - Architect the Reasoning Layer and design systems that allow agents to navigate a billion-line codebase with high precision. - AI Workload Optimization: Ensure our AI infrastructure is performant and cost-effective as it scales to become our primary compute driver. - Lead New Techniques: Develop new methods for synthetic data generation and agent evaluations that outperform current industry benchmarks. You Have: - Beyond "Off-the-Shelf": We are looking for an expert who can move past basic LoRA or full-parameter fine-tuning to implement Reinforcement Learning from Compiler Feedback (RLCF) and Domain-Specific Distillation. - Code-Specific Optimization: The goal is to fine-tune models to understand the unique constraints of the Roblox Luau language, our internal APIs, and our proprietary high-performance engine architecture. - Continuous Learning Loops: Architecting the infrastructure that allows our models to "learn" from every human-corrected diff, ensuring our internal models stay ahead of general-purpose industry standards. 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 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. - 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 $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 - Experimentation & Measurem...
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 - Experimentation & Measurement San Diego, CA Overview: As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation. What You’ll Be Doing: - Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization. - 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. Basic Requirements: - Bachelor’s degree or equivalent. - 5+ years of experience in a data science experimentation-focused role (3+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL for data extraction and transformation. - Proficiency in Python, including statistical and data science libraries. - Broad and applied knowledge of statistical techniques and machine learning modeling methods. - 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 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. 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. $178,900 - $268,300 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 AI Engineer
Cloud Chamber is seeking a Senior AI Engineer to join our talented development team to further push the development of the AI Systems and AI Archetype for BioShock 4. We have high ambitions for tying AI and storytelling together in our project. It will be your responsibility to crystallize that ambition, helping to support several AI systems, and bring several AI Archetypes to life. In this role, you’ll collaborate with an engaged team to push the state of the art and experiment with unproven ideas. We are attempting new and ambitious things with AI in this game. You are bold, brave, and believe in an iterative, experimental approach to game development, moving comfortably between design and engineering, collaborating and communicating ambition and limitations. What You’ll Do: - Collaborate with the team to: - Iterate and polish existing AI Systems and Archetypes. - Bring new Archetypes into existence. - Take confident ownership over the architecture and implementation within the systems of your domain. - Work on implementation and maintenance of AI behavior tree and associated systems. - Focus and help plan for ensuring all of our AI Systems and Archetypes operate performantly and within memory budgets. - Improve design-facing tools for authoring and scripting combat encounters. - Create and maintain technical documentations. - Review the work of other engineers and share expertise in your area of knowledge. What We’ll Do Together: You will work closely with our Design, Animation, Audio, VFX, and Art departments to support and finalize the implementations for core AI systems: Combat Management, Perception, Steaming/Memory/Performance, etc. You will also help bring new AI Archetypes into realization and work to flush out and finalize existing ones. You will share ownership of those systems and archetypes and collaborate with current engineering leadership to shepherd them to ship. You will be encouraged to push our conception of what is possible in this arena, doing as much to advance the ambition as you will attempt to build it, ultimately bringing our richly imagined world to life. What You’ve Done: - 5+ years industry or related experience. - Worked in an AI for video games programming role. - Used Unreal Engine in a professional capacity for scripting Basic AI Systems. - Used UE5 AI Debugging Tools and Rewind Debugger. - Strong math skills. - Strong C++ experience. - Developed for current gen AAA consoles. Who You Are: - A reliable, positive force multiplier, actively seeking opportunities to integrate work across disciplines and contribute to a healthy, supportive team environment. - A solid communicator with excellent written and verbal communication skills, with the ability to articulate complex ideas clearly, package information for diverse audiences, and deliver difficult feedback with empathy and professionalism. - A persistent and self-motivated person with a proactive mindset. - Able to maintain effectiveness and quality under pressure, ambiguity, and fast-changing priorities. - An active listener able to build and maintain trust-based relationships across all levels of the organization, understand differing perspectives, and navigate organizational complexity with tact and emotional intelligence. - Highly open to feedback and direction, possessing a desire to learn new skills, and capable of producing quick, quality revisions based on new insights or constraints. - A strong owner of your tasks, who strives to drive their work forward autonomously while maintaining a critical eye for detail and organization, ensuring high standards of quality. - Dedicated to upholding Cloud Chamber’s core values, contributing to a positive and respectful company culture while striving for excellence in all endeavors. Who We Are: At Cloud Chamber we strive to make BioShock games that move people: evocative, immersive, and meaningful experiences that stay with you long after you’ve rolled credits. Great games are born from great collaborations, supported by a culture that brings out the best in our teams. We work openly, learn through play, take ownership, push ourselves to be better, and deliver for our players. LI-Hybrid The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. For candidates located in Quebec: - Proficiency in French is required. - Proficiency in English is required to effectively collaborate with teams based in the United States. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform their essential job functions, and receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews. When emailing prospective employees, we only use 2K.com accounts
Senior AI Engineer
Cloud Chamber is seeking a Senior AI Engineer to join our talented development team to further push the development of the AI Systems and AI Archetype for BioShock 4. We have high ambitions for tying AI and storytelling together in our project. It will be your responsibility to crystallize that ambition, helping to support several AI systems, and bring several AI Archetypes to life. In this role, you’ll collaborate with an engaged team to push the state of the art and experiment with unproven ideas. We are attempting new and ambitious things with AI in this game. You are bold, brave, and believe in an iterative, experimental approach to game development, moving comfortably between design and engineering, collaborating and communicating ambition and limitations. What You’ll Do: - Collaborate with the team to: - Iterate and polish existing AI Systems and Archetypes. - Bring new Archetypes into existence. - Take confident ownership over the architecture and implementation within the systems of your domain. - Work on implementation and maintenance of AI behavior tree and associated systems. - Focus and help plan for ensuring all of our AI Systems and Archetypes operate performantly and within memory budgets. - Improve design-facing tools for authoring and scripting combat encounters. - Create and maintain technical documentations. - Review the work of other engineers and share expertise in your area of knowledge. What We’ll Do Together: You will work closely with our Design, Animation, Audio, VFX, and Art departments to support and finalize the implementations for core AI systems: Combat Management, Perception, Steaming/Memory/Performance, etc. You will also help bring new AI Archetypes into realization and work to flush out and finalize existing ones. You will share ownership of those systems and archetypes and collaborate with current engineering leadership to shepherd them to ship. You will be encouraged to push our conception of what is possible in this arena, doing as much to advance the ambition as you will attempt to build it, ultimately bringing our richly imagined world to life. What You’ve Done: - 5+ years industry or related experience. - Worked in an AI for video games programming role. - Used Unreal Engine in a professional capacity for scripting Basic AI Systems. - Used UE5 AI Debugging Tools and Rewind Debugger. - Strong math skills. - Strong C++ experience. - Developed for current gen AAA consoles. Who You Are: - A reliable, positive force multiplier, actively seeking opportunities to integrate work across disciplines and contribute to a healthy, supportive team environment. - A solid communicator with excellent written and verbal communication skills, with the ability to articulate complex ideas clearly, package information for diverse audiences, and deliver difficult feedback with empathy and professionalism. - A persistent and self-motivated person with a proactive mindset. - Able to maintain effectiveness and quality under pressure, ambiguity, and fast-changing priorities. - An active listener able to build and maintain trust-based relationships across all levels of the organization, understand differing perspectives, and navigate organizational complexity with tact and emotional intelligence. - Highly open to feedback and direction, possessing a desire to learn new skills, and capable of producing quick, quality revisions based on new insights or constraints. - A strong owner of your tasks, who strives to drive their work forward autonomously while maintaining a critical eye for detail and organization, ensuring high standards of quality. - Dedicated to upholding Cloud Chamber’s core values, contributing to a positive and respectful company culture while striving for excellence in all endeavors. Who We Are: At Cloud Chamber we strive to make BioShock games that move people: evocative, immersive, and meaningful experiences that stay with you long after you’ve rolled credits. Great games are born from great collaborations, supported by a culture that brings out the best in our teams. We work openly, learn through play, take ownership, push ourselves to be better, and deliver for our players. For candidates located in Quebec: - Proficiency in French is required. - Proficiency in English is required to effectively collaborate with teams based in the United States. LI-Hybrid As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform their essential job functions, and receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never use instant messaging apps or personal email accounts to contact prospective employees or conduct interviews. When emailing prospective employees, we only use 2K.com accounts
Data Scientist – CLV & Next Best Action
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: Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer-centric decisions through seamless integration of data. Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalisation. We’re seeking a motivated and collaborative Data Scientist to join our CLV & Next Best Action / Personalisation team , which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base. By connecting player behaviours to long-term outcomes, our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStation’s Next Best Action and Personalisation strategies. You’ll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale. This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players. What You’ll Be Doing: - Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement. - Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth. - Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies. - Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable. - Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes. - Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects. What we're looking for: You’re curious, analytical, and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation, and you’re motivated by the challenge of applying these to impactful business problems. - Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth. - Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling. - Proficiency in Python and SQL, with fluency in common data science libraries. - Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies. - Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them. - A collaborative attitude, with the ability to work in cross-functional teams. - A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience. Nice to Have: - Experience with A/B testing or experimentation frameworks. - Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo). - Exposure to gaming, e-commerce, or subscription-based business models. - Proven experience of analysing and modelling with “big data” technologies. - A personal interest in gaming and entertainment. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers 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. 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.
- Programmeur·euse I.A. Senior/AI Programmer
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. ENGLISH FOLLOWS En mai 2021, nous nous sommes lancés dans l'aventure de la création des Studios Haven , avec une petite équipe et de grandes ambitions. Notre objectif était de fonder un studio où nous pourrions développer le genre de jeux que nous avons toujours rêvé de créer – et ceux auxquels nous avons toujours rêvé de jouer. Nous avons accompli des progrès remarquables en très peu de temps grâce à notre équipe talentueuse et passionnée, ainsi qu’à ses contributions exceptionnelles. Chez Haven, nous avons instauré une culture fondée sur la bienveillance, la flexibilité et le courage, qui stimule la créativité. Notre première nouvelle propriété intellectuelle pour PlayStation est en bonne voie pour offrir une expérience multijoueur de très haut niveau, avec pour objectif de créer un univers systémique et évolutif axé sur la liberté, les sensations fortes et le plaisir de jouer, qui saura divertir et captiver les joueurs pendant des années. Haven a rejoint la famille PlayStation Studios en 2022, et nous sommes en bonne voie pour créer une nouvelle propriété intellectuelle exclusive pour PlayStation et développer la première équipe de développement de jeux Sony au Canada. Nous sommes à la recherche d'un ·e Programmeur ·euse IA senior expérimenté ·e pour rejoindre notre studio. Vous serez responsable de divers systèmes et fonctionnalités d'IA tout en assurant leur qualité technique. Vous aiderez à clarifier les exigences techniques et contribuerez à définir le planning de l'équipe de programmation. Au sein d'une équipe pluridisciplinaire, vous piloterez la conception et la mise en œuvre techniques, en veillant à ce que les exigences conceptuelles et artistiques soient respectées et à ce que les joueur ·euse·s vivent des expériences passionnantes. Reporting Le·a Programmeur ·euse I.A. Senior relèvera du ·de la Producteur ·trice Technique. Responsabilités et tâches - Fournir des systèmes et des fonctionnalités de haute qualité qui répondent aux exigences techniques et de conception. - Optimiser et déboguer le code pour garantir les performances et la qualité technique. - Promouvoir et suivre les meilleures pratiques de programmation et les normes de codage, construire des technologies et des codes durables, performants et faciles à maintenir. - Contribuer aux documents de conception technique, à la clarification des exigences, à la définition des tâches et à l'examen du code par les pairs. - Planifier efficacement le travail et fournir aux responsables des mises à jour réalistes sur l'avancement des travaux. - Identifier de manière proactive les risques et créer des solutions innovantes pour atténuer leur impact sur le jeu. - Se tenir au courant des technologies de pointe et promouvoir leur utilisation lorsqu'elles sont bénéfiques pour le jeu. Qualifications recherchées - 8+ années d'expérience dans des métiers connexes. - Bonne compréhension des architectures des moteurs de jeu. - Solides connaissances en C++. - Solides compétences en conception de logiciels avec une expérience des modèles architecturaux axés sur les données. - Solides compétences en matière d'optimisation et de multithreading. - Bonne compréhension de la réplication de réseau. - Bonne compréhension de la programmation client-serveur. - Expérience des langages de formalisme tels que FSM, Statecharts ou Behavior Tree. - Compétences avancées en matière de débogage. Qualifications souhaitées - Expérience de livraison de jeux avec Unreal Engine. - Connaissance pratique de l'architecture microservices. - A l'aise avec les architectures événementielles et asynchrones. - Expérience de développement dans un environnement réel. n May 2021, we embarked on a journey to start Haven Studios with a small team and big ambitions. Our goal was to build a studio where we could make the kind of games we’ve always wanted to create – and games we’ve longed to play. We’ve made amazing progress in a short time thanks to our talented, passionate team and their exceptional contributions. We established a culture at Haven grounded in kindness, adaptability and courage that unlocks creativity. Our first new IP for PlayStation is on track to deliver a AAA multiplayer experience with a vision to build a systemic and evolving world focused on freedom, thrill, and playfulness that will keep players entertained and engaged for years. Haven joined the PlayStation Studios family in 2022, and we are on track to build an exclusive new IP for Playstation and grow the first Sony game development team in Canada. Position – Senior AI Programmer We are looking for an experienced Senior AI Programmer to join the Haven Entertainment Studios project team. The Senior AI Programmer will have ownership of various AI systems and features while ensuring their technical quality. They will help clarify technical requirements and contribute to defining the programming team's planning. As part of a multidisciplinary team, the Senior AI Programmer will drive technical design and implementation, ensuring design and artistic requirements are met while exciting player experiences are delivered. Reporting The Senior AI Programmer will report to the Technical Producer. Responsibilities and Duties - Deliver high quality systems and features that meet design and technical requirements. - Optimize and debug code to ensure performance and technical quality. - Promote and follow programming best practices and coding standards, build sustainable, performant and maintainable technologies and code. - Assist with technical design documents, requirements clarification, tasks definition and peer code-reviews. - Plan work effectively and provide realistic updates on progress to managers. - Proactively identify risks and create innovative solutions to mitigate their impact on the game. - Keep up to date with cutting-edge technology and promote its use when beneficial to the game. Experience and skills required - 8+ years of experience in related jobs - Good comprehension of game engine architectures - Strong knowledge of C++ - Strong software design skills with experience of data-driven architectural patterns - Strong optimization and multithreading skills - Strong understanding of network replication - Good understanding of client-server programming - Experience with formalism languages such as FSM, Statecharts or Behavior Tree - Advanced debugging skills Preferred Qualifications - Experience shipping game with Unreal Engine - Practical knowledge of microservices architecture - Comfortable with event-driven and asynchronous architectures - Experience developing in a live environment 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: Innovation...
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. As a Staff Data Scientist , you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions. What You’ll Be Doing: - Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments. - Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities. - Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact. - Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals. - Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams. - Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations. - Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility - Represent the team’s insights and innovations across the broader data science and product communities within PlayStation. - Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities. What We’re Looking For: - Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred. - Strong familiarity with the gaming industry and contemporary gaming experiences. - 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity. - Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment. - Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling. - Expertise in causal inference techniques and designing both randomized and quasi-experiments. - Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions. - Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders. - Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy). - A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation. Benefits: - Discretionary bonus opportunity - Hybrid Working (within Flexmodes) - Private Medical Insurance - Dental Scheme - 25 days holiday per year - On Site Gym - Subsidised Café - Free soft drinks - On site bar - Access to cycle garage and showers 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. 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 - Experimentation & Measurem...
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 - Experimentation & Measurement San Mateo, CA Overview: As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation. What You’ll Be Doing: - Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization. - 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. Basic Requirements: - Bachelor’s degree or equivalent. - 5+ years of experience in a data science experimentation-focused role (3+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL for data extraction and transformation. - Proficiency in Python, including statistical and data science libraries. - Broad and applied knowledge of statistical techniques and machine learning modeling methods. - 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 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. 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. $178,900 - $268,300 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.
Sr Machine Learning Engineer - Safety 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. The Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams. The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action. We focus on: - Monitoring and influencing user behavior (User Safety) - Building efficient and scalable moderation platforms (Foundation) - Providing transparency and education for parents and developers (User Safety) - Giving users agency in managing their own safety (User Safety) - Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines) - Providing users fast and accurate support with the Customer Care Chatbot (Customer Care) You will: - Work on implementation of machine learning solutions for safety-related systems - Help to foster a culture of technical excellence and inclusivity - Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement - Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness - Facilitate challenging technical decisions, demonstrating empathy and finding common understanding - Collaborate with cross-functional teams to execute on ML-based problems You have: - MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning. - Experience with the full ML lifecycle, including training, deployment, and continuous monitoring. - Experience with similarity detection and/or digital watermarking. This includes work on developing and re-training embedding models, including multi-modal models - Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems You are: - Experienced in the safety, integrity, or content moderation domain . - Familiar with large-scale content understanding problems (e.g., text, image, video classification). - Experienced with cloud-based ML platforms and infrastructure. 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.
Data Scientist - Marketing & Product
Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely) inspires people to explore the world together through products that promote exercise, exploration, and real-world social interaction. We’re seeking a strategic, impact-driven Staff Data Scientist to partner with Marketing and Product. You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to shape user acquisition, engagement, monetization, and long-term player value. As a senior IC, you’ll define data strategy across marketing and product analytics, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights and decision-making. You’ll collaborate with Marketing, Product, Engineering, Finance, and Executive Leadership to drive measurable business outcomes. Responsibilities Marketing & Product Analytics - Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing. - Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions. - Partner with Marketing and Finance to optimize budget allocation and ROI. Experimentation & Causal Inference - Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality). - Translate privacy-constrained attribution environments (e.g., SKAdNetwork, aggregated reporting) into actionable insights. Data Engineering & Infrastructure - Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer). - Design optimized data models and warehouse schemas for high-performance analytics. - Build reusable data assets, feature stores, and modular analytics frameworks. AI-Driven Analytics - Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis. - Integrate AI into analytics workflows to improve speed, quality, and reproducibility. - Promote technical excellence and responsible AI adoption. Qualifications - 7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred). - Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact. - Strong expertise in experimentation, causal inference, and marketing measurement. - Advanced SQL and Python skills, including scalable ETL and production workflows. - Experience with BI tools (e.g., Looker) and enabling self-serve analytics. - Ability to influence senior stakeholders and drive executive-level adoption. Plus If… - End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards). - Experience with large-scale datasets. - Familiarity with BigQuery, Composer, and Airflow. 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 $203,000 - $290,000 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 Niantic 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.
Product Manager - Platform, Applied AI/ML
Do you want to use Data and AI to creatively solve core game design problems, delighting users today and crafting the future of mobile gaming? Join Niantic Games, now part of the Scopely family, as a Product Manager on the Applied AI team. You will lead, innovate, and build outstanding AI-driven experiences across our suite of products, including Pokémon GO, Monster Hunter Now, and Pikmin Bloom. Unlike a traditional platform role, you will partner directly with Game Designers, Producers, and ML Engineers to deploy AI features that directly touch the player—from personalized game loops to intelligent, adaptive gameplay. Responsibilities: - Identify Gameplay Opportunities: Work with Game Producers and Designers to identify friction points or engagement opportunities where AI/ML can provide a unique solution (e.g., dynamic difficulty, personalized rewards, generative content). - Drive the "AI for Fun" Roadmap: Create the vision and strategy for how Applied ML enhances the core game loop, ensuring features optimize for fun and retention , not just model accuracy. - Cross-Discipline Translation: Act as the bridge between the ML Engineering team and the Game Teams. Translate "Game Design Intent" into "ML Requirements" and vice versa. - Execution & Experimentation: Define success metrics that blend technical performance (latency/accuracy) with game KPIs (retention/DAU). - Leverage the Ecosystem: Collaborate with Scopely’s central tech teams to adopt and adapt state-of-the-art ML technologies for Niantic’s location-based specific needs. Qualifications: - 4+ years of Product Management experience, preferably in Gaming, Consumer Mobile, or Applied ML. - 2+ years of professional experience in Machine Learning, Data Science, or Data Analytics - Passion for Games: A deep understanding of game mechanics (F2P, RPG, or Location-Based) and an intuition for what makes a game "fun." - Technical Fluency: Experience working with Data Science or Machine Learning teams. You don't need to code, but you must understand the capabilities and limitations of LLMs, Reinforcement Learning, and Predictive Modeling. - Adaptive Learner: Proven track record of picking up new domains quickly. You are comfortable stepping out of your comfort zone to tackle undefined problems. - Collaborative Spirit: Experience managing trade-offs between creative desires and technical reality. Plus If... - Experience launching ML-driven features in a live service game (e.g., matchmaking, bots, personalization). - Hands-on experience with Generative AI tools and workflows in a creative production environment. - Experience managing platform services that have direct end-user UI components (e.g., Social, Identity, Payments). 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 $107,500 - $165,000 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 Niantic 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.
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 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. 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.
Data Scientist - Pikmin Bloom
Niantic/Scopely is seeking a talented and passionate Data Scientist to join our team in Tokyo. As a Data Scientist, you will play a crucial role in supporting the development and growth of our live games. You will be responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to enhance our game's performance and user experience. Statistical proficiency and business intelligence experience are crucial for effective communication and data-driven decision-making. Familiarity with Looker is a big plus. Responsibilities: - Analyze and interpret complex datasets to identify patterns, trends, and opportunities for improving gameplay, engagement, and monetization. - Collaborate with cross-functional teams, including game designers, product managers, and engineers, to define and prioritize data-driven objectives and strategies. - Create and deliver regular reports, dashboards, and visualizations to communicate insights and recommendations to stakeholders. - Develop and maintain data models, algorithms, and statistical models to support predictive analytics and forecasting. - Collaborate with the game engineering team to ensure data quality, integrity, and availability for analysis. - Stay up-to-date with industry trends, best practices, and emerging technologies in data science and business intelligence. Requirements: - Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, or related disciplines). - 5+ years of experience in a similar and data analytics focused role. - Solid understanding of business intelligence concepts, methodologies, and tools. Familiarity with Looker or similar business intelligence platforms is a plus. - Proven experience in data analysis, statistical modeling, and data visualization using tools such as Python, R, SQL, or similar. - Ability to translate complex data findings into actionable insights and recommendations. - Strong problem-solving skills and ability to work independently as well as collaboratively in a fast-paced, dynamic environment. - Passion for gaming and familiarity with Niantic games is highly desirable. - Business Proficiency in both Japanese and English is preferred. Join our team and contribute to the success of Niantic games by leveraging your data science expertise to drive data-informed decision-making and enhance the player experience !! 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 Niantic 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.
Senior Technical Product Manager - ML & Analytics
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: We're searching for a Senior Product Manager on our Platform Machine Learning team who can help drive the team’s product vision and strategy. This Product Manager will work closely with Zynga’s internal teams to understand their technological needs as they build out engaging experiences for our new and existing player base. Projects will range from the development of automation tools, data pipelines, and ML models, empowering users to effectively and efficiently meet their business goals. What You'll Do: - Establish the product vision and strategy that will help improve operations and performance across our business. - Partner with executive, game, marketing, and analytics teams to understand user needs and establish success criteria with clearly measurable objectives and key results to deliver a great end-user experience. - Collaborate with a high-performing group of Engineers, Data Scientists, and Analysts acting as the voice of the business to shape the development and delivery of AI solutions. - Define key performance indicators (KPIs) and track the impact of products on business outcomes - Impact the end-to-end product lifecycle of features spanning multiple areas. - Collaborate to solve novel problems introduced by the constantly evolving and increasingly challenging gaming ecosystem. - Be or become a guide in data science strategies and technologies, including key vendors in the space, pros and cons of opposing approaches, and trade-offs involved with different strategies. Zynga is known for its data-driven culture, its ambitious mindset, and its fast-paced, challenging work environment where each individual can make a difference. We value strong analytical skills, problem-solving, and quantitative experience. We look for great communicators, leaders, and team players. What You Bring: - Strong analytical and problem-solving skills with a Bachelor's degree or equivalent experience in Computer Science, Engineering, Economics, or Business. - 5+ years of professional experience in a product management role. - Prior experience in working with Game and/or Marketing teams or building DS solutions. - Demonstrated experience with prioritizing projects, collecting requirements, crafting product specifications, and carrying features from conceptualization to deployment. - Good knowledge of agile software development methodologies and software development life cycle. - Experience with metrics-driven decision-making. - A track record for high performance and team/project leadership. - Hard-working, performance-driven self-starter and team player. - Excellent verbal and written communication skills. What We Offer You : Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site The pay range for this position in Ontario at the start of employment is expected to be between $92,000 and $142,000 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at accommodationrequest@zynga.com to request any accommodations or for support related to your application for an open position. Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, take2games.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).
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 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. 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
Scopely is looking for a Senior Data Scientist to join our Monopoly GO! game team in our Barcelona hub on a hybrid basis, or remotely in Spain or Portugal. At Scopely, we care deeply about what we do and want to inspire play, every day. 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. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. What You Will Do As a Senior Data Scientist, you will play a key role in supporting game growth by leveraging data to build innovative, player-centric solutions. You won't just analyze data; you will own the lifecycle of data products — from identifying a player pain point to deploying a production-level solution. - Product Vision & Strategy: Partner with Product Managers and Stakeholders to identify high-value opportunities, helping to define the data science roadmap for the one of the world’s biggest mobile games. - End-to-End Ownership: Own the process of creating new data products, from initial inception and requirement gathering to technical design, productionalization, and monitoring. - Player Insights: Analyze player behavior to understand how features impact the game economy, progression, social dynamics, and sentiment. - Advanced Modeling: Design and implement A/B tests, forecasting, clustering, and ML models that don't just "predict," but provide actionable "decision intelligence." - Technical Excellence: Provide technical expertise throughout the product life cycle, ensuring high quality, scalability, and efficiency in our Data & Insights team. - Collaborative Delivery: Work across departments (Product Analytics, Engineering, LiveOps, Marketing) to ensure data solutions are integrated and driving real-world impact for our players. What We’re Looking For We want a creative, highly motivated individual who enjoys tackling ambiguous problems and "figuring it out" with practical, scalable solutions. - Product Mindset: Outstanding problem-solving skills with a "user-first" mentality. You can conceptualize player behavior and determine the best metrics to measure success, even when data is messy or non-existent. - Technical Stack: Advanced proficiency in Python and SQL. Experience with BI tools (Looker) and visualization libraries (Plotly, etc.). - Data Engineering Savvy: Experience with data transformation at scale using dbt and Airflow. - Production Experience: Proven track record of deploying data products to production (on GCS, AWS, or Azure) and implementing monitoring/alerting to ensure service quality. - Scientific Rigor: Strong background in statistics, A/B testing methodology, and applying ML/AI to improve business understanding. - Communication: Ability to translate complex methodologies into clear "so-whats" for non-technical stakeholders and business users. Bonus Points - Gaming Passion: A deep love for F2P mobile games and an understanding of game loops/economies. - Specialized Knowledge: Familiarity with causal inference, Bayesian statistics, or MLOps platforms. - Deep Learning & GenAI: Hands-on experience with LLMs, predictions using Transformers, or other Deep Learning architectures applied to behavioral data or content generation. 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 Niantic 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.
Senior Data Scientist
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Senior Data Scientist , you will be at the forefront of our AI developments, analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building ML/AI powered applications in production. As a Senior Data Scientist you will: - Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact; - Analyze data to identify significant patterns and generate actionable insights; - Perform exploratory data analysis EDA and feature engineering to support the modeling process; - Apply best practices on model selection, parameter tuning etc.; - Run comparative experiments for model training; - Analyze ML metrics to evaluate different potential solutions; - Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments; - Mentor and guide junior members, sharing knowledge and leading complex projects. What you’ll bring: Must have : - Expert knowledge of machine learning algorithm and respective theory; - Extensive hands-on experience in delivering machine learning models to production; - Experience in developing MLOps solutions; - Knowledge of the Python machine learning ecosystem and solid software background in OOP; - Knowledge of Deep learning; - Strong skills in teamwork, communication, and analytical thinking; - Fluency in English, both oral and written. Nice to have: - Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks; - Experience in recommendation systems; - Experience in GenAI application development; - Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc. Kaizen Gaming Perks - 🕑 Hybrid way of working; - 🏃 A buddy will support you with your onboarding; - 💸 Competitive pay & bonus scheme; - ⭐Developmental 360° feedback framework; - 💰 Monthly meal allowance; - 👩⚕️ Private health insurance for you and your family; - 📚 Unlimited access to Udemy & continuous training; - 👨👩👧👦 Family Support. - #LI-Hybrid - #LI-gs1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Principal Data Scientist
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Principal Data Scientist, you will play a critical role in leveraging data and AI to deliver value and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, data-intensive and AI-empowered applications along with the corresponding ML/DL algorithms. As a Principal Data Scientist your main responsibilities will be - Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms. - Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production. - Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth. - Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry. - Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value. - Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome. What you’ll bring Must have: - 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python - PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning - A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. - Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production. - Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight. Nice to have: - Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models. - Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases. We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world. Kaizen Gaming Perks - 🕑 Hybrid model of working; - 🏃 A buddy will support you with your onboarding; - 💸 Competitive salary package and bonus scheme; - 👩⚕️ Health and life insurance for you and your family; - 💰 Monthly meal allowance - ⭐ Developmental 360° feedback framework; - 📚 Unlimited access to Udemy & continuous training - 👨👩👧👦 Family Support. - #Li-Remote Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Machine Learning Engineer
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role At Kaizen, we aim to leverage the capabilities offered by modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations, and from AI-powered co-pilots to CRM optimizations. We build our teams to be self-driven, autonomous and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads. As a Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. As a Machine Learning Engineer your will: - Design, develop and maintain scalable model training and inference pipelines in a distributed production environment; - Design, develop and maintain microservices in Python that host and serve ML models on production; - Design, develop and maintain internal tools that enable CI/CD/CT, performant feature engineering, experiment tracking, data and model versioning. What you’ll bring - Ηands-on experience in software development using Python on a production environment; - Good understanding of: - Software system design; - The ML project lifecycle; - MLOps concepts and tools such as MLflow or Kubeflow; - ML algorithms and models. - Experience with cloud providers like Microsoft Azure or AWS; - Experience with PySpark and Databricks. Kaizen Gaming Perks - 🕑 Hybrid model of working - 🏃 A buddy will support you with your onboarding - 💸 Competitive salary package and bonus scheme - 👩⚕️ Health and life insurance for you and your family - 💰 Monthly meal allowance - ⭐ Developmental 360° feedback framework - 📚 Unlimited access to Udemy & continuous training - 🚗 Commuting allowance - 👨👩👧👦 Family Support - #LI-Remote Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
AI Senior Product Owner
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Senior Product Owner of one of our AI product teams, you will drive the vision and strategy for new and existing products that the team is responsible for. You will support the development of AI-powered products by applying product and agile best practices to maximize the business value of the team's deliverables. This is a unique role that combines product ownership skills with knowledge of the machine learning / AI product lifecycle. As a Senior AI Product Owner you will: - Contribute to the product vision and strategy; - Collaborate with stakeholders to obtain domain expertise and gather business and customer requirements; - Create and maintain the ΑΙ roadmap, ensuring impact-driven prioritization, problem validation and alignment with internal stakeholders; - Facilitate and lead the discovery process; - Define and track measures of success in conjunction with product analysts; - Provide vision and direction to the Agile development team; - Create PRDs, epics, experiments and associated documentation; - Manage the product backlog and team priorities; - Conduct market research and competitive analysis to identify trends and opportunities; - Support the team and organization by applying both product and agile best practices; - Communicate product updates. What you’ll bring - Working experience in a product role within technology, ideally in a B2C online business; - Understanding of the machine learning/AI product lifecycle; - Solid experience with agile methodologies; - Proven ability to define a set of requirements that pinpoint customer/business challenges and identify improvements to address them; - Ability to communicate clearly and concisely across technology and business teams; - Previous experience with product lean startup or design thinking will be considered a plus; - Familiarity with online sports betting and casino products is an asset; - A good understanding of technology, programming languages and software architecture is considered a plus. Our ideal future co-worker has a strong sense of ownership, takes pride in developing our products and cannot rest until every customer has a great user experience. Kaizen Gaming Perks - 🕑 Hybrid way of working - 🏃 A buddy will support you with your onboarding - 💸 Competitive pay and bonus scheme - 👩⚕️ Private health insurance for you and your family - 💰 Monthly meal allowance - ⭐Developmental 360° feedback framework - 📚 Unlimited access to Udemy & continuous training - #LI-Hybrid - #LI-AP Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Senior AI Data Governance Analyst
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Senior AI Data Governance Analyst , you will be a key member of the Data/AI Governance team, supporting the design and implementation of a robust AI governance framework across the organization. You will work closely with both business and technical stakeholders to ensure the quality, consistency, availability, and compliance of AI models/apps, critical in the highly regulated betting and gaming industry. As a Senior AI Data Governance Analyst, you will : - Contribute to the development and enforcement of AI governance policies, standards, and procedures; - Support the implementation of AI metadata management, data lineage, and AI/Data quality frameworks; - Profile datasets to assess its accuracy, completeness, consistency, integrity, etc in order to be usable for AI implementations; - Identify and document AI quality issues and propose corrective actions; - Monitor and analyze AI quality KPIs and support AI remediation initiatives; - Update and maintain AI quality dashboards or reports to monitor KPIs and communicate trends to stakeholders; - Participate in cross-functional meetings to align on AI governance priorities; - Maintain and enhance AI business glossaries, AI data dictionaries, and AI catalogs; - Collaborate with AI/Data owners, AI/Data stewards, and AI custodians to promote AI governance best practices; - Assist with compliance-related AI & Data initiatives (e.g., EU AI Act, GDPR, AML, Responsible Gaming reporting); - Evaluate and support AI/Data governance tools (e.g., Atlan, Collibra, Informatica, Microsoft Purview); - Contribute to the evolution of the AI Governance framework and best practices. What you’ll bring: - Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or Operations Research. Specialization or demonstrated experience in Artificial Intelligence will be considered a strong plus; - 4+ years of experience in a data quality, data management, reporting, statistical or quantitative role. Experience in data governance roles will be considered a plus; - Strong working knowledge of AI frameworks and dimensions; - Understanding of core AI & Data governance concepts and regulatory requirements; - Ability to clearly document technical and business concepts; - Relevant experience with BI/analytics tools (e.g., Power BI, Tableau) and AI/Data Governance or quality tools (e.g. Atlan, Informatica, etc) will be considered a plus; - Strong SQL skills, highly advanced with MS-Excel (pivot tables, v-lookups) and G Suite experience; - Strong understanding of AI models/apps, data architecture, especially within cloud data platforms; - Strong communication skills and the ability to work with cross-functional teams. Experience managing stakeholders at various levels; - Strong analytical mindset, with attention to detail and a commitment to AI & Data quality; - Ability to prioritize tasks effectively, meet deadlines and identify opportunities with limited oversight, while aligning with business goal; - Experience in a regulated industry (e.g. betting, fintech, healthcare, telco) is a strong plus; - High drive, a can-do attitude, proactiveness and adaptability to changing business demands. Kaizen Gaming Perks - 🕑 Hybrid way of working; - 🏃 A buddy will support you with your onboarding; - 💸 Competitive pay & bonus scheme; - ⭐Developmental 360° feedback framework; - 💰 Monthly meal allowance; - 👩⚕️ Private health insurance for you and your family; - 📚 Unlimited access to Udemy & continuous training; - 👨👩👧👦 Family Support. - #LI-Hybrid - #LI-GP2 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
ML Infrastructure Engineer
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE . A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds a high-performance, high availability, globally distributed ecosystem platform of services that in turn provide the foundation for rapid development of novel new systems that integrate into that ecosystem and improve it. Our infra team is responsible for providing and maintaining scalable infrastructure with high throughput and low latency to our bidding ecosystem. You will be exposed to the whole pipeline of model delivery, including training, serving, and optimizations, etc. The Impact You'll Make - Design, develop, and maintain large-scale distributed systems - Collaborate with various engineering teams to meet a wide range of technological challenges - Work closely with our research science team and backend team to contribute and influence the roadmap of our products and technologies - Influence and inspire team members - Speed up the performance of our online models - Optimize the model delivery pipeline Who You Are - Have 0-2 years of experience and a minimum of a BS and/or MS in Computer Science - Have excellent knowledge of computer science fundamentals including data structures, algorithms, and coding - Good experience with C++, Python and/or Golang is a plus - Experience independently creating and maintaining projects AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $124,000 - $250,000 USD AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
Senior Data Scientist (GenAI)
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a GenAI Senior Data Scientist , you will be at the forefront of our AI developments, analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments. As a GenAI Senior Data Scientist you will: - Translate product requirements to AI problems and identify areas where AI can drive the most business impact; - Analyze data to uncover significant patterns and generate actionable insights; - Architect agentic and GenAI systems; - Select appropriate models for the right tasks and tune their performance; - Perform exploratory data analysis (EDA and feature engineering to support the modeling process; - Apply best practices on model selection, parameter tuning etc.; - Run comparative experiments for model training; - Analyze ML metrics to evaluate different potential solutions; - Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production; - Mentor and guide junior members, sharing knowledge and leading complex projects. What you’ll bring: Must have : - Hands on experience with GenAI and Agentic applications; - Extensive hands-on experience in delivering AI driven products to production; - Experience in scaling and optimisation of AI applications; - Knowledge of machine learning algorithm and respective theory; - Knowledge of the Python machine learning ecosystem and solid software background in OOP; - Strong skills in teamwork, communication, and analytical thinking; - Fluency in English, both oral and written. Nice to have: - Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks; - Previous experience in LLM fineturing; - Previous experience with LLM serving; - Knowledge of Deep learning. Kaizen Gaming Perks - 🕑 Hybrid way of working - 🏃 A buddy will support you with your onboarding - 💸 Competitive pay & bonus scheme - ⭐Developmental 360° feedback framework - 💰 Monthly meal allowance - 👩⚕️ Private health insurance for you and your family - 📚 Unlimited access to Udemy & continuous training - 👨👩👧👦 Family Support. - #LI-Hybrid - #LI-ap1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Machine Learning Engineer – Feed Recommendation
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE . 【The Role】 We are looking for a Machine Learning Engineer with strong experience in large-scale recommendation systems to help build the next-generation social media platform. You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth. 【A Day in the Life】 - Design and deploy scalable recommendation pipelines - Develop and optimize CTR/CVR prediction models - Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value) - Tackle cold-start challenges for new users and new content - Run offline experiments and online A/B testing to drive measurable gains - Collaborate closely with product, engineering, and monetization teams - Continuously iterate on model performance, latency, and system reliability 【The Impact You’ll Make】 - Improve user retention through intelligent content recommendation - Drive measurable lift in engagement and monetization metrics - Build core ranking mechanics beyond incremental model tuning - Shape the foundation of a scalable, long-term content ecosystem 【Who You Are】 - 3–5 years of experience building production-grade ML systems - Strong hands-on experience in recommendation systems - Experience in one or more: - Recall systems / candidate generation - Ranking models - CTR prediction - Multi-task or multi-objective optimization - Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.) - Strong software engineering fundamentals - Experience with large-scale data systems and distributed training is a plus - Experience improving retention or long-term user value is highly valued 【Why Join This Venture】 - Build 0-to-1 systems inside a proven AI powerhouse - High ownership and direct business impact - Startup speed with AppLovin-level scale and resources - Opportunity to shape a new growth engine for the company AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles. We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com. AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
Principal Data Scientist
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Principal Data Scientist, you will play a critical role in leveraging data and AI to make decisions in real time to deliver the right reward and message to the right customer at the right time and medium. and create a competitive advantage for the organization The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, real-time and AI-empowered applications along with the corresponding ML/DL algorithms. As a Principal Data Scientist you will: Architecture: Design scalable, reliable and high-performance AI applications along with their corresponding ML/DS algorithms. Innovation: Set the tech direction in the AI tribe in order to deliver state-of-the-art AI models in production. Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth. Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities, disrupt the industry and showcase what’s truly possible. Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value. Autonomy & end-to-end Ownership: From ideation, to translation of business needs to technical requirements, all the way to operationalization and maintenance, demonstrate autonomy on high-complexity and ambiguous projects and ownership of the outcome. What you’ll bring Must have: 8+ years of hands-on experience leveraging large-scale data to build ML/DS models with Python PhD-level expertise in one or more of the following domains: Recommendation Systems,,Time-series, Reinforcement Learning, Graph Learning A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps and quality evaluation practices in order to operationalize and maintain those applications in production. Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight. Nice to have: Expertise in constraint optimization, uplift modeling. causal inference & personalization Exposure to a variety of domains especially CRM and a diverse family of models. Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases. We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world. Kaizen Gaming Perks - 🕑 Hybrid way of working & remote options - 🏃 A buddy will support you with your onboarding - 💸 Competitive pay and bonus scheme - 👩⚕️ Private health insurance for you and your family - 💰 Monthly meal allowance - ⭐Developmental 360° feedback framework - 📚 Unlimited access to Udemy & continuous training - #li-ap1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Senior Data Scientist
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity. Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production. We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process. As a Data Scientist you will - Translate business requirements to machine learning problems; - Perform EDA and feature engineering; - Run comparative experiments for model training; - Implement best practices on model selection, parameter tuning etc. What you’ll bring - A background in Computer Science, Statistics, Math or related field; - Strong knowledge of machine learning algorithm and respective theory; - 2-8 years of hands-on experience in delivering machine learning models to production; - Knowledge of the Python machine learning ecosystem; - Experience with Spark (PySpark); - Solid software background in OOP; - Strong skills in teamwork, communication, and analytical thinking; - Fluency in English, both oral and written. Nice to have - Experience with Azure / Databricks; - Knowledge of Deep learning; - Experience in recommendation systems. Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS) Kaizen Gaming Perks - 🕑 Hybrid way of working - 🏃 A buddy will support you with your onboarding - 💸 Competitive pay & bonus scheme - ⭐Developmental 360° feedback framework - 💰 Monthly meal allowance - 👩⚕️ Private health insurance for you and your family - 📚 Unlimited access to Udemy & continuous training - 👨👩👧👦 Family Support. - #LI-Remote - #LI-PROMOTE Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Senior Machine Learning Engineer
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads. As a Senior Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. As a Senior Machine Learning Engineer your will: - Collaborate closely with data scientists in order to deliver production-ready model training pipelines; - Design scalable solutions in a distributed environment; - Design scalable inference pipelines and architectures; - Implement model diagnostics such as evaluation, monitoring flows etc.; - Automate model deployment, enable REST API model endpoints; - Develop scalable model serving flows; - Work on cluster optimization and scalability; - Develop and maintain internal tools and libraries; - Write CI/CD/CT pipelines. What you’ll bring - Extensive experience in software development using Python in large scale, high-performance production environment; - Significant hands-on experience in designing ML software systems; - Significant experience with cloud environments like Microsoft Azure or AWS; - Solid understanding of: - The ML project lifecycle; - MLOps concepts and tools such as MLflow or Kubeflow; - ML algorithms and models. - Hands-on experience with Spark and PySpark; - Excellent problem solving and communication skills. Machine Learning (ML) #MLOps #AIOps #Software Engineering Kaizen Gaming Perks - 🕑 Hybrid way of working; - 🏃 A buddy will support you with your onboarding; - 💸 Competitive pay & bonus scheme; - ⭐Developmental 360° feedback framework; - 💰 Monthly meal allowance; - 👩⚕️ Private health insurance for you and your family; - 📚 Unlimited access to Udemy & continuous training; - 👨👩👧👦 Family Support. - #LI-Hybrid - #LI-EL1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Senior Data Scientist
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Senior Data Scientist , you will be at the forefront of our AI developments, analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building ML/AI powered applications in production. As a Senior Data Scientist you will: - Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact; - Analyze data to identify significant patterns and generate actionable insights; - Perform exploratory data analysis EDA and feature engineering to support the modeling process; - Apply best practices on model selection, parameter tuning etc.; - Run comparative experiments for model training; - Analyze ML metrics to evaluate different potential solutions; - Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments; - Mentor and guide junior members, sharing knowledge and leading complex projects. What you’ll bring: Must have : - Expert knowledge of machine learning algorithm and respective theory; - Extensive hands-on experience in delivering machine learning models to production; - Experience in developing MLOps solutions; - Knowledge of the Python machine learning ecosystem and solid software background in OOP; - Knowledge of Deep learning; - Strong skills in teamwork, communication, and analytical thinking; - Fluency in English, both oral and written. Nice to have: - Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks; - Experience in recommendation systems; - Experience in GenAI application development; - Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc. Kaizen Gaming Perks - 🕑 Hybrid way of working; - 🏃 A buddy will support you with your onboarding; - 💸 Competitive pay & bonus scheme; - ⭐Developmental 360° feedback framework; - 💰 Monthly meal allowance; - 👩⚕️ Private health insurance for you and your family; - 📚 Unlimited access to Udemy & continuous training; - 👨👩👧👦 Family Support. - #LI-Hybrid - #LI-gs1 Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Senior AI Artist (9 Month Contract)
At Kabam, we’re constantly raising the bar of excellence in free-to-play gaming. We hire for passion and diversity so that we can triumph in our collective skill. Our teams are made up of a fusion of personalities and interests bound together by a collaborative nature, fun-loving culture, and a drive to do what it takes to make great games. And this is where you come in… As a Senior AI Artist, you will use AI-assisted workflows in day-to-day game art production. This role is primarily a production artist position focused on creating high-quality, game-ready assets while helping internal and contract art teams adopt AI as a practical creative tool. You will use established AI tools alongside traditional digital art methods to produce icons, illustrations, concepts and props that meet defined visual style and quality standards. Working closely with the Art Lead and Game Director, you will help demonstrate how AI can enhance artistic workflows, improve iteration speed, and expand creative capacity across the team. This is a foundational role contributing to an emerging discipline within Kabam, establishing sustainable, artist-driven AI workflows that support production while maintaining artistic ownership and craft. Technical AI development and tool creation are supported by Kabam’s central Data and AI teams; this role focuses on the creative application and production use of those tools. This role specifically is for an unannounced new project within Kabam. You can expect to be responsible for: Your background includes: Excited by this opportunity? Kabam is dedicated to growing our diverse and inclusive workforce, so if your past experience doesn’t perfectly match the listed requirements we encourage you to apply anyways - you could be a great fit for this or other positions. We invite you to apply now and start the conversation with us. Together, we can create and support some of the best games ever made and entertain the world! About Kabam Kabam is a world leader in developing entertaining, immersive, and highly social multiplayer games, bringing high-quality graphics, next-generation technology, and revolutionary gameplay to players around the world. Kabam’s games, Marvel Contest of Champions, Shop Titans, and more have generated hundreds of millions of downloads and have received multiple awards including Apple’s Editor’s Choice and Google Play’s Best Game of the Year. Founded in 2006, Kabam has studios and offices in Vancouver & Montreal in Canada, and Los Angeles & San Francisco in the United States. Kabam is a wholly-owned subsidiary of Netmarble Games. Kabam is an Equal Employment Opportunity employer committed to building a diverse and equitable workplace, and inclusive environment for all existing and potential employees. Employment decisions are based on candidate qualifications and business need, not race, color, ancestry, place of origin, age, sex (including pregnancy), gender identity or expression, sexual orientation, political belief, religion, creed, marital or family status, medical condition, genetic information, physical or mental disability, military or veteran status, prior criminal conviction or any other protected class in accordance with federal, state or provincial and local laws and ordinances. Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.
Senior Data Scientist
We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a Senior Data Scientist , you will be at the forefront of our AI developments, analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building ML/AI powered applications in production. As a Senior Data Scientist you will: - Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact; - Analyze data to identify significant patterns and generate actionable insights; - Perform exploratory data analysis EDA and feature engineering to support the modeling process; - Apply best practices on model selection, parameter tuning etc.; - Run comparative experiments for model training; - Analyze ML metrics to evaluate different potential solutions; - Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments; - Mentor and guide junior members, sharing knowledge and leading complex projects. What you’ll bring: Must have : - Expert knowledge of machine learning algorithm and respective theory; - Extensive hands-on experience in delivering machine learning models to production; - Experience in developing MLOps solutions; - Knowledge of the Python machine learning ecosystem and solid software background in OOP; - Knowledge of Deep learning; - Strong skills in teamwork, communication, and analytical thinking; - Fluency in English, both oral and written. Nice to have: - Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks; - Experience in recommendation systems; - Experience in GenAI application development; - Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc. Kaizen Gaming Perks - 🕑 Hybrid way of working & remote options - 🏃 A buddy will support you with your onboarding - 💸 Competitive pay and bonus scheme - 👩⚕️ Private health insurance for you and your family - 💰 Monthly meal allowance - ⭐Developmental 360° feedback framework - 📚 Unlimited access to Udemy & continuous training LI-Remote Recruitment Privacy Notice Regarding the data you share with us, you may find and read our recruitment privacy notice here . We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
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