Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations.

You Will:

• Own the technical direction and implementation of machine learning solutions for safety-related systems
• Lead and mentor other engineers, fostering 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 across multiple teams, demonstrating empathy and finding common understanding
• Collaborate with cross-functional teams to define and prioritize the machine learning roadmap

You Have:

• 10+ years of experience delivering and improving large-scale machine learning systems
• Proven expertise in creating and launching machine learning models from scratch
• Ability to handle data problems, train models with large datasets, and ensure system reliability at scale
• Experience with distributed systems, data architecture, and model extraction
• Strong programming skills and willingness to be hands-on as necessary
• Prior experience in a leadership role with a technical focus, including mentoring engineering teams

You Are:

• A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas
• Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported
• Passionate about maintaining deep technical expertise while meeting end-user needs
• Knowledgeable about cutting-edge ML technologies, including LLMs
• Experienced in NLP or computer vision (preferred)
• Familiar with maintaining and evolving safety systems at scale (preferred)

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.

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

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.

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, and we make Roblox accounts secure and free from compromise. We also keep the platform compliant for changing regulations and growth markets. We cover a broad area of the tech spectrum, including machine learning, experimentation, automation, highly scalable distributed backend systems, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world.

WHY CRITICAL HARMS?

As an Engineering Manager on Critical Harms, you’ll lead an engineering team to identify and address some of the highest-risk and most critical problems we face, including rare events with sparse data such as predatory behavior, child endangerment, extremism, fraud. Safety and Civility is Roblox's #1 priority, and our mission is to protect our community.

You Will:

• Shape and grow a high-performing engineering team. Support engineers, ranging from junior to principal, in their development.
• Foster a team culture of collaboration, innovation, and engineering excellence; while getting things done. 
• Take responsibility for high-scale systems to detect and address problematic content on Roblox. Operate creatively and strategically in a highly adversarial space. 
• Own the team’s mission and outcomes. Work with stakeholders to define the team’s roadmap, and ensure execution. 
• Partner with Moderation Operations, PM, Data, and stakeholders across Roblox, to develop innovative solutions that ensure the safety of user-generated content.

You Have:

• 2+ years of experience as an engineering manager working in ML space
• Excellence in collaborating with others, and in developing software engineers. You have demonstrated outcomes of facilitating team success.
• A proven track record of technical delivery in high-scale environments with complex constraints
• Ability to contribute to architecture and implementation discussions around high-scale ML systems
• Experience solving difficult problems involving both engineering and non-engineering stakeholders

You Are:

• Resourceful: You're able to navigate tough constraints to find the best solution. You stay laser-focused on the end goal and are adaptable, creative, and strategic to achieve it. 
• Solution Oriented: You start with the problem to be solved, and stay laser-focused on getting it solved. You can tackle anything that comes your way, whether it’s a technical problem, a business problem, or a people problem.
• Team Oriented: You are constantly looking at how to make the team stronger – both the team you directly manage, and the team of peers you collaborate with. 

Empathetic: You can put yourself in the shoes of anyone – a junior engineer, an executive, an adversarial attacker, a new user – and understand their needs. 

The mission of the search and discovery team is to connect a billion users with the best connections and content at the right time, covering an extremely diverse range of recommendations and search problems at high scale.  This is  fundamental to how we personalize the experience to drive engagement and retention for Roblox users. Our recommendation systems suggest all games that the users see and play with across all surfaces. As a Senior Engineering Manager for the Search & Discovery ML team, you will lead the architects of exploration for one of the world's largest immersive platforms. You will be responsible for the core algorithms that connect over 120 million daily active users with millions of 3D experiences, items, and social connections. This is a high-impact leadership role where your team’s models directly determine the growth, retention, and satisfaction of the Roblox community. You will move beyond traditional recommendation systems into the realm of multimodal, agentic, and generative discovery.

You Will:

• Lead and grow a high-performing team of machine learning engineers, fostering a culture of ownership, collaboration, and engineering excellence.
• Establish a long-term strategic framework for the home page ML models
• Collaborate with the ML platform team, data science, and product teams to deliver SoTA ML models. 
• Oversee the end-to-end development life cycle, ensuring timely delivery of high-quality, robust ML solutions.
• Mentor and coach team members, providing continuous feedback and career development guidance.
• Manage cross-functional projects and communicate progress, risks, and challenges to leadership and stakeholders.

You have:

• 5+ years of management experience and 8+ years of experience building machine learning systems.
• Experience in hiring, managing, and mentoring senior machine learning engineers and technical leaders.
• Deep knowledgeable about the best practices for SoTA machine learning architecture and algorithms.
• Skill at driving technical strategy and roadmap planning in ambiguous and fast-paced environments.
• Established strong, collaborative relationships with cross-functional partners and senior leadership.
• Passion about fostering a high-trust, no-blame culture that prioritizes growth-oriented mentorship and psychological safety.
• Knowledge in the machine learning life cycle and the data requirements for training, serving, and monitoring models.
• Strong communication, both written and verbal, capable of articulating complex technical concepts to a diverse audience.
• A BS, MS, or PhD in Computer Science, or a related technical field or have equivalent practical experience.
• Experience with SoTA ML models and solutions.
• Experience with applying advanced ML solutions to product problems.

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.

At Roblox, we're on a mission to empower creators to build and share immersive experiences. As a member of the Roblox Studio team, you’ll be working on the most popular tool for game development in the world. Our Studio team is seeking an exceptional Machine Learning Engineer to push the boundaries of AI-assisted game development.

You'll improve the capabilities of Roblox Assistant and Code Assist, crafting the future of how games are built on our platform. Your work will directly impact millions of creators and players worldwide.

You Will:

• Advance Roblox Assistant's Reasoning: Pioneer innovative ways to improve our AI's ability to handle complex prompts. This may involve architecting novel models or fine-tuning innovative language models on diverse, large-scale datasets.
• Specialize LLMs for Roblox: Lead efforts to fine-tune large language models on Roblox's unique data model, tailoring innovative AI to our specific ecosystem. Your work will bridge the gap between general-purpose LLMs and the niche needs of interactive content development.
• Elevate Scripting Quality: Innovate on our Lua code data pipeline, developing sophisticated quality signals to ensure premier script generation.

You Have:

• Deep expertise in PyTorch or equivalent ML frameworks.
• Proficiency with distributed data processing systems like PySpark.
• Proven track record of deploying ML systems to production at scale.
• Strong understanding of transformer architectures and their applications.
• 3+ years of experience building ML systems / applications.
• A passion for game development, with extra points for Roblox Lua scripting experience.

Why Safety AI Systems?

As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. 

In close collaboration with product, policy, and Trust & Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences.

You Will

• Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale.
• Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent.
• Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step.
• Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready.
• Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders.
• Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
• Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges.
  
  

You Have

• 5+ years of experience building large-scale machine learning systems in production environments.
• Proven track record of designing, developing, and launching ML models from scratch into production.
• 2+ years of hands-on experience with vision language models or other foundation model technologies.
• Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale.
• Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces.
• Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact.
• Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals.
• High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members.
• Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines).
• Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning.
  
  

You Are

• Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact.
• An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team.
• A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact.
• Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations.
• Highly collaborative: effective at working with cross-functional partners and teams, and skilled at building consensus.
• Committed to diversity & inclusion: dedicated to fostering a workplace where everyone feels valued, supported, and able to contribute.
• Passionate about cutting-edge ML tech: knowledgeable about the latest advances in AI/ML and excited to apply these technologies to keep users safe.

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.

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.

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.

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.

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

Why Reliability?

Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale.  The Reliability team at Roblox operates at the depth and breadth of the Roblox stack.  Availability of the platform is a key company goal.  We are hiring our first Principal Machine Learning engineer within our team.  

As a Principal Machine Learning Engineer within Reliability, you will set the 3-5 year technical strategy and architectural blueprint for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform.  You will own the architectural and execution roadmap of leveraging massive data across  - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR).  You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software.

You will:

• Define the strategy of leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox.
• Improve realtime anomaly detection capabilities by leveraging various state of the art ML techniques, thereby directly contributing to improving Mean Time to Detect Production issues.
• Develop methods to build pipelines to consume various streams of data (metrics, logs, traces, change management systems etc.).
• Build a reasoning layer that interacts with the streams of data to find possible root causes of problems happening in production.
• Build time-series models to predict capacity exhaustion and seasonal traffic spikes to drive automated scaling

You have:

• Beyond off the shelf:  We are looking for an expert who has knowledge of various modeling techniques, ability to go deep and fine tune models to fit our use cases.
• Ability to propose and architect the infrastructure that allows us to implement systems that learn from user and/or automated feedback.
• Good distributed systems fundamentals and understanding of large scale high throughput systems

You are:

• Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams.
• A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress.
• An 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.

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.

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.

As a Senior Machine Learning Infrastructure Engineer in our Ads ML Infra team, 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:

• Lead the technical strategy and implementation of scalable ML infrastructure including model training, data pipelines, feature engineering and model inference.
• Shape the team’s technical vision by helping define the roadmap, establishing foundational architecture, and driving key execution milestones.
• Mentor and support junior engineers, setting strong technical standards and fostering a culture of collaboration and learning.
• 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.
• Own the architecture, scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
• Dig into performance bottlenecks all along the ML stack, spanning from model optimizations to infrastructure optimizations.
• Ensure high operational excellence in deployed ML infrastructure (monitoring, alerting, incident response).
• 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 and a proven track record of designing, building, and deploying large-scale machine learning systems in production environments.
• Impact driven mindset: prioritizing product impact, reliability, and measurable success over code volume or complexity.
• Strong communication skills and a collaborative approach to problem solving.
• BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.