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Senior Director of Engineering, 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. Senior Director, Generative AI About the Role Roblox Build is our generative creation product, the platform where creators design, build, and publish 3D experiences. We are looking for a Senior Director of Generative AI to lead the Applied AI organization inside Build, responsible for turning state-of-the-art foundation models into high-quality, reliable creation systems at Roblox scale. This leader will own the full applied AI stack: model strategy and routing, model adaptation and fine-tuning, code generation (CodeGen), 3D layout generation (LayoutGen), and the evaluation science and infrastructure that tells us what actually works. You Will - Own model strategy and routing for Build. Design and build an intelligent model layer that selects the right model for each creation task based on quality, capability, latency, cost, and safety, leveraging both frontier models and Roblox-adapted open-source models. - Lead model adaptation across the Applied AI org, including fine-tuning, distillation, synthetic data generation, human feedback pipelines, and preference optimization for Roblox-specific creation tasks such as Luau code generation and 3D scene understanding. - Drive CodeGen capabilities forward by building AI systems that understand creator intent, reason across multi-file Roblox experiences, execute tools, and reliably make complex changes to existing games, going well beyond code completion. - Build LayoutGen intelligence by developing the AI capability that turns a creator's intent into coherent 3D scenes, including object selection, spatial reasoning, placement, aesthetic quality, and iterative editing. - Own evaluation as a core technical discipline. Build the benchmarks, quality metrics, judge methodologies, experiment infrastructure, and human evaluation pipelines that answer whether model, prompt, or routing changes actually improve creator outcomes. - Close the feedback loop between model development, evaluation, and production, ensuring that quality signal flows continuously from creator outcomes back into training data, model updates, and release decisions, rather than operating as separate silos. You Have - 10+ years of experience in machine learning and AI, with 5+ years in senior technical leadership roles overseeing applied AI or ML engineering organizations that have shipped generative AI systems into production at scale. - Deep technical grounding across multiple areas of applied AI, including LLM post-training (RLHF, DPO, distillation), model routing and adaptation, agentic systems, code generation, or evaluation science, with enough depth to recruit, challenge, and lead exceptional scientists and engineers in each area. - Demonstrated experience building and leading high-performing organizations that span both AI research scientists and production engineers, including hiring, developing talent, and making difficult personnel decisions. - Strong evaluation fluency, with a track record of building eval frameworks that predict production outcomes, designing benchmarks that measure what matters, and building the infrastructure to run experiments continuously at model, prompt, and routing level. - Experience operating cross-functionally in complex technical organizations, with the ability to influence and align across research, product engineering, and platform teams without relying on hierarchy. - Genuine interest in the creation problem. You find the specific challenge of AI-assisted 3D world creation and domain-specific code generation compelling, not just as a vehicle for building AI systems. You Are - A builder and a shipper who cares about getting things into production and measuring whether they actually work, not just publishing promising results. - Technically credible across the stack. You can engage deeply with scientists on evaluation methodology, data quality, and model behavior, and equally deeply with engineers on architecture, inference latency, and reliability. - Decisive under ambiguity. You make principled tradeoffs between rigor and velocity, know when good enough is good enough, and can articulate your reasoning clearly. - Direct and honest. You give clear feedback, surface problems early, and create an environment where your team can do the same. - Mission-driven. You care about the people building on Roblox, and you connect the technical work of the Applied AI org to the experience of the millions of creators using the tools. 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 $525,510 - $573,690 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 Engineer, Foundation 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. The Agent Infra team builds the infrastructure that runs autonomous AI agents at Roblox for millions of creators building experiences on our platform, and for thousands of Roblox engineers shipping production code every day. Agent workloads break the assumptions most infrastructure is built on. They run for hours instead of milliseconds, they're non-deterministic, they execute code nobody wrote, and they need real credentials against real systems to be useful at all. Making that safe, durable, and cost effective at Roblox’s scale is the hard problem our team is solving. As an early member of the Agent Infra team you’ll work alongside an experienced engineering team on systems that are already in front of real users, at scale, in a field that didn’t exist two years ago. You Are - Early in your career : 1-3 years of professional experience or a recent grad; with strong CS fundamentals and an interest in learning infrastructure, distributed, and agentic systems. - Someone who builds things: You have projects, internships, or open-source work you'd genuinely enjoy walking us through. - Into AI agents. You've built something with them, even something small, and you can tell us what broke. - Comfortable writing real code in Go, Python, Rust, or similar, and quick to pick up whatever you haven't used yet. - A fast learner who asks good questions, digs into things you don't understand, and doesn't wait to be told what to do next. You Will - Build and shape the platform that runs Roblox’s agents; across internal and external products at massive scale. - Work on agentic infrastructure, ensuring that we’re able to build optimal, security and scalable systems, whilst keeping pace with new advances in the industry. - Continually learn and adjust your understanding of the systems we are building and what is capable with AI agents. - Experiment and share your agentic workflows, ensuring that the Agent Infra team is helping shape the future of work at Roblox. 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 $153,120 - $196,750 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 Technical Program Manager, Human-in-the-Loop Operations
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 Senior Technical Program Manager for the Human-in-the-Loop (HITL) Operations , you will own the end-to-end lifecycle of Roblox's AI data labeling and model evaluation ecosystem. This is a high-leverage, high-ownership role at the intersection of Research, Engineering, and Operations. You will scale our data operations that is handling million of items evaluated annually today with projection of 4x the current volume by 2030, managing a multi-million annual budget and a distributed workforce of 100+ remote contractors — all while driving the platform evolution from manual workflows to AI-assisted, LLM-accelerated operations. This is a rare opportunity to build the data infrastructure that directly determines the quality of Roblox's AI models across creator tools, content discovery, in-experience AI, and 3D generative content — at the exact moment when human judgment is the critical ingredient for getting these models right. You Will - Lead data programs end-to-end. Own the full lifecycle of labeling and model evaluation workflows across Roblox's AI teams — from translating ambiguous ML requirements into structured annotation tasks, to overseeing contractor execution, quality review, and dataset delivery to model teams. - Define and maintain ground truth. Develop and iterate on labeling guidelines, annotation schemas, and quality frameworks tailored to Roblox's unique data types: 3D mesh quality, texture coherence, search relevance, game novelty detection, NPC behavior evaluation, and AI-generated Luau code assessment. - Manage a multi-vendor, distributed workforce. Oversee remote contractor teams, managing workforce allocation, productivity SLAs, quality calibration, and budget forecasting serving across multiple teams with Roblox. - Drive the shift to AI-assisted workflows. Partner with Engineering to evaluate and implement LLM-based pre-labeling, LLM-as-a-Judge evaluation, and automated QA routing — reducing FTE coordination overhead and scaling throughput proportional to our annual volume growth. - Partner cross-functionally across Roblox AI. Work closely with ML Engineers, Data Scientists, and Product Managers to translate model development needs into concrete, executable data programs, and communicate program status and quality trends to senior leadership. - Own operational excellence and KPIs. Define and track SLAs across throughput, inter-annotator agreement, cost per label, and data quality metrics. Surface risks, resolve bottlenecks, and drive continuous process improvement. - Shape platform and tooling strategy. Contribute to Roblox's next-generation labeling and evaluation platform strategy — including vendor pilots, internal platform improvements, and the transition to a hybrid human-AI collaborative workflow model. You Have - 5+ years of experience in Technical Program Management, Data Operations, or Operations Management within an AI/ML or data-intensive environment. - Deep hands-on experience with data labeling, annotation, or model evaluation — including designing annotation schemas, writing labeling guidelines, and managing quality control at scale. - Proven experience managing external vendor relationships and distributed contractor workforces, including workforce planning, quality oversight, and budget management. - Strong understanding of the ML lifecycle and the role of human-labeled data in training, fine-tuning, and evaluating models. - Proficiency in SQL and Python for querying datasets, analyzing label quality, and building operational dashboards. At a minimum, be able to use AI tools to generate queries. - Excellent written and verbal communication skills — able to write rigorous technical specifications and present complex data concepts to both ML researchers and business stakeholders. - Proven ability to drive cross-functional alignment and exercise strong judgment, knowing when to champion collaborative efforts versus leading independently. - Exceptional critical thinking skills with a demonstrated capacity to navigate ambiguity and execute effectively in 0-to-1 environments without structured guidance. - Solid grasp of software development life cycles and hands-on experience leveraging AI-assisted tools like Cursor, Claude, or Gemini to accelerate workflows. Nice to Have - Experience with LLM-based labeling pipelines, LLM-as-a-Judge evaluation, or human-AI calibration loops. - Familiarity with labeling platforms such as Label Studio, Scale AI, or Snorkel AI. - Experience evaluating 3D, games, videos, or multimodal data beyond standard text and image annotation. - Background in vendor platform evaluation or build vs. buy analysis. - Experience with data operations at a consumer platform operating at massive scale (100M+ users). - Knowledge of Roblox platform and its games, or general gaming experience. 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 $226,400 - $277,350 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 - Authentication
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY AUTHENTICATION & SECURITY? Authentication & Security sits at the intersection of trust, product, and growth. The team builds the systems that allow users to sign in, recover, and protect their accounts with confidence, while defending the platform against account takeovers, credential abuse, and fraud at massive scale. This role is an opportunity to shape a high-stakes product area where small changes in friction or protection can meaningfully affect sign-ups and user frequency. You will act as a strategic leader, helping make authentication and account-recovery flows more seamless and secure while strengthening our systems against abuse. You Will: - Shape Authentication & Security roadmaps with strategic data science guidance across account creation, login, account recovery, and account protection features. - Identify and size the highest-impact levers to improve authentication success rates, reduce account takeover rates, and minimize unnecessary user friction. - Design and evaluate feature experiments across sign-up, login, and account-recovery funnels. - Quantify tradeoffs between security friction and user protection, and assess how each influences downstream engagement and retention. - Develop evaluation metrics and ground-truth labeling strategies to strengthen our account security detection models. - Partner with Product, Engineering, Policy, Legal, and UX Research to turn ambiguous problems into clear decisions. - Translate friction points in the authentication and account-recovery journey into actionable product recommendations. - Communicate insights to leadership and cross-functional partners to drive prioritization and tradeoff decisions. You Have: - 5+ years of industry experience in data science, economics, analytics, or machine learning engineering - 2+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - Knowledge of ML and Deep Learning either via formal training or industry experience - Ability to apply creative first-principles reasoning to solve ambiguous problems - Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content - Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $221,380 - $263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Machine Learning Infrastructure Engineer, Ads & Discovery
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox Ads & Discovery business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver more value to our users and our advertisers. As a Machine Learning Infrastructure Engineer, you’ll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You will: - You will co-design models and systems, working at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. Your work will span recommendation, search, and agentic applications, including large transformer architectures, LLMs, generative rankers, and efficient offline and online content-understanding systems. - You will investigate model, data, and systems tradeoffs end to end—from data pipelines and distributed training to low-latency inference and production serving. This includes designing efficient KV-cache strategies, applying pruning and quantization, optimizing GPU utilization and memory efficiency, and developing custom kernels where needed. - You are comfortable working across modern ML systems technologies such as FSDP, vLLM, SGLang, CUDA, distributed training frameworks, inference engines, and GPU kernels, while remaining tool-agnostic and focused on achieving step-function improvements in model quality, throughput, latency, reliability, and cost. - Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference. - Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). - Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. You have: - 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments. - 3+ years of experience tech leading ML infrastructure engineers - Strong communication skills and a collaborative approach to problem solving. - BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience. 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.
Engineering Manager, Machine Learning Infrastructure, 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 Ads business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver effective performance ads to our users, and more business values to our advertisers. We’re looking for an EM to lead a team of exceptional ML infrastructure engineers, build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You Will: - Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference. - Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature). - Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment. - Recruit, mentor, and grow a high-performing team of ML infrastructure engineers. You Have: - - 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments. - 2+ years of experience managing ML infrastructure engineers - End-to-End Execution: You’ve built ML systems from data ingestion to serving in production. - Team-first Mindset: A collaborative leader who thrives on mentoring and enabling others to succeed. - BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience. 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 Engineering Manager, Text Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences – all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for language and text content safety. You'll oversee machine learning systems, data quality, training pipelines, and model performance to address challenges like real-time content understanding across Roblox's experiences and advanced moderation with large language models, spanning chat, comments, usernames, game descriptions and other generative text content. In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences. You Will - Own the roadmap and execution of machine learning solutions for the Language Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale. - Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent. - Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step. - Architect and guide the development of large-scale language models with innovative architectures, ensuring they achieve high quality and are production-ready. - Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders. - Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for language safety initiatives, ensuring alignment with broader Safety and Roblox objectives. - Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges. You Have - 5+ years of experience building large-scale machine learning systems in production environments. - Proven track record of designing, developing, and launching ML models from scratch into production. - 2+ years of hands-on experience with language models or other foundation model technologies, and bonus to have experiences on one or more of the following areas: - LLM eval - LLM post-training - Agentic workflow in prod environment - Trust & Safety - Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale. - Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces. - Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact. - Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals. - High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members. - Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines). - Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning. You Are - Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact. - An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team. - A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact. - Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations. - Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus. - Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute. - Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $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 Engineering Manager, AI Roblox Studio
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's engineering team is expanding rapidly, and we're looking for a seasoned engineering leader to help us scale our AI-powered creation platform and team. As a Senior Engineering Manager within the Creator Group, you will lead the Studio Assistant team — driving the strategy and execution of our agentic AI system that powers creation for millions of Roblox creators. Your team owns everything end-end from the user experience in Studio, to the infrastructure underneath backend by a single cloud-native architecture: one harness, one tool set, one eval framework. Your work will empower millions of creators to plan, generate, and ship content faster than ever before. At Roblox we move fast and ship code to production daily; your leadership will increase productivity by removing obstacles and keeping processes lean. You will identify and mitigate risk and make sure the technology outpaces our growth. Roblox teams are inclusive, helpful, and have a strong sense of ownership over the things they build. If you have a desire to grow and learn, you will fit right in with our highly-skilled and ever-expanding engineering team. You Are: - Battle ready: You have experience defining architecture for AI systems at scale and are excited about the challenges of shipping agentic workflows to millions of creators. You can be hands-on and still define an architecture from scratch — model orchestration, tool execution, evaluation pipelines — and make sure it scales from early adopters to millions of users - Versatile: You're comfortable across the full stack of an AI-powered product: cloud orchestration, LLM integration and model routing, skill/tool execution, and creator-facing client experiences. You can easily adapt to any situation when the need arises and come up with the right solution. - Knowledgeable: You have a deep understanding of AI infrastructure — model serving, reliability, observability, and multi-step execution loops including planning, tool use, and recovery. You can evaluate tradeoffs, recommend pragmatic solutions, and bring a team of engineers to consensus. You also love to pick up new technologies as the AI landscape evolves rapidly. You Have: - Experience: 10+ years of experience in large-scale software deployments with a proven track record of leading large teams (15+) and delivering highly performant technical solutions. Experience building or leading teams that ship AI/ML-powered products in production. BS in Computer Science; MS/PhD are a definite plus. - AI systems depth: Experience with agentic systems, LLM orchestration, evaluation frameworks, and the operational challenges of shipping AI features reliably at scale. - Strategic vision: You can identify high-impact opportunities, shape them into a roadmap, and get buy-in from leadership and partner teams to make them happen. You think beyond the immediate ask to find the right long-term opportunities for growth. - Building partnerships: You have a track record of working across organizational boundaries — aligning with partner teams on shared goals, navigating competing priorities, and driving joint execution on complex cross-team initiatives. - Team-orientation: You have a personality that invigorates the team around you and you are used to leading and growing technical teams in any situation. You Will: - Grow our organization by attracting and retaining the best talent in AI engineering and applied ML. - Own the technical strategy for our agentic AI stack — balancing speed, reliability, and creator experience. - Balance researching emerging AI capabilities with a practical approach to shipping them into the Roblox product. - Lead other engineers by example, through technical direction, and by authoring specs for new features and architectural improvements. - Put the Roblox creator community first and represent the company through thought leadership. You'll Love: - Excellent medical, dental, and vision coverage - A rewarding 401k program - Flexible vacation policy - Free catered lunches and several fully stocked kitchens with unlimited snacks - Onsite fitness center and fitness program credit - Annual CalTrain Go Pass - A Roblox Admin badge for your avatar 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.
Software Engineer, Communications
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 Software Engineer on the Communications team, you will work on real-time communication across 2D and 3D spaces for billions of users while keeping interactions civil, safe, and expressive. Communication is at the core of what makes Roblox a vibrant social platform, the systems you build will define how tens of millions of people connect every day. You will work with teams across Game Engine, Safety, and ML Platform, building backend services at scale, data pipelines, and ML models that strengthen the underlying chat and policy infrastructure. You will build and ship detection systems that identify chat violations and continuously evolve to outpace bad actors circumventing our safety policies. As a core contributor to a broader suite of communication products, you will drive feature development while embedding safety into the foundation of the platform. If you are a developer with an understanding of large scale systems and want to shape how the next generation of Roblox users interact safely in the metaverse, you’ll be right at home within our highly-skilled and rapidly growing team. You will: - Engineer and scale the communication infrastructure that supports millions of concurrent users, architecting highly reliable systems that keep chat civil, proactively detect violations using machine learning models and data pipelines, and define how people connect on Roblox. - Work with cutting-edge ML—model tuning and prompt engineering—to build safe chat experiences that are novel even by industry standards. - Contribute as needed to the full spectrum of communication product development, from core infrastructure and safety systems to user-facing features. - Introduce and improve our processes to help us be more effective and efficient. - Enforce high quality standards while we iterate on feature development. - Collaborate with other engineering and product teams (Game engine, Creator, Trust & Safety to name a few) at the company to push the boundary of what is possible - Self-organize and take ownership of projects throughout its full lifecycle. You have: - Experience in backend software development - 2+ years industry experience building and supporting ML systems in a production environment. - Hold a Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field. - Experience collaborating with backend engineers on client/server design and architecture for high-scale products, including knowledge of performance principles like caching and modern technologies. - Experience collaborating with cross-functional partners in Product, Design, and Data Science to drive meaningful results that align with the team's overarching vision You are: - Responsible : you build systems that work and keep on working reliably. You are thorough in your designs, rigorous in handling potential failure cases, and diligent in automated testing. - Analytical : Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - Creative : You take a creative and strategic approach to solving hard problems and driving new tools/functionality for our end users and game developers - Team-oriented : You are able to work well as part of a team and know how to collaborate with all participants to develop the best solutions. Able to write clear design specs, mentor junior engineers, and guide projects from beginning to end - Data-driven focused on quality metrics and monitoring Bonus: - Experience building communication products and features. - Experience working closely with design, strong design interest/background. - Experience with LLMs - Experience using big data query/processing languages and tools such as SQL, Hive, Spark and Airflow - Experience of test driven development. 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 $153,120 - $196,750 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.
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