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Data & AnalyticsHybrid

Principal Machine Learning Engineer, Embodied AI and Smart NPCs

Roblox · Hybrid

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Last seen by MeritLog September 12, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Roblox's Greenhouse job board and last checked it on September 12, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
$345,040 – $399,420 per year
Location
San Mateo, CA, United States
Occupation
Computer Systems Engineers/Architects(O*NET 15-1299.08)

Hiring context

How this role compares at Roblox

Roblox has 232 live roles in MeritLog’s catalog across 11 job families, and 44 of them are in data & analytics. 210 of those listings publish a pay range, a disclosure rate of 91%.

This role's posted range of $345,040 – $399,420 per year sits above 88% of the 196 other Roblox roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • Design and implement foundation models end to end through the feature extraction to inference for embodied agents.
  • 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.
  • 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).
  • Experience with building large scale data/feature pipeline, simulation environments for evaluation / RL.
  • Experience training models on large-scale distributed clusters and understanding the challenges of inference in real-time gaming environments.
  • Proficiency in Python (PyTorch/TensorFlow) and familiarity with C#, C++, or similar systems languages.
  • A passion for bridging the gap between research and production, moving beyond academic benchmarks to launch scalable solutions that directly impact millions of users.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Machine Learning Engineer within the Creator Services Machine Intelligence team, you will focus on the research and development of Embodied AI and Behavioral Agents that revolutionize how games are created and played on Roblox. You will bridge the gap between cutting-edge research and massive-scale product application, building agents capable of complex 3D gameplay and unblocking many use cases across Roblox, from automated playtesting to ensure quality, to "ML Players" with human-like movement and strategic reasoning, playing with real players in games. You will work on feature extraction, model training, building validation / RL platform as well as inference set up leveraging methods from imitation learning to reinforcement learning. And you will create generalizable agents that can perceive 3D environments, understand game rules, plan long-term strategies, and execute complex physics-based actions in real-time. You Will: • Design and implement foundation models end to end through the feature extraction to inference for embodied agents. • 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). • Experience with building large scale data/feature pipeline, simulation environments for evaluation / RL. • Experience training models on large-scale distributed clusters and understanding the challenges of inference in real-time gaming environments. • Proficiency in Python (PyTorch/TensorFlow) and familiarity with C#, C++, or similar systems languages. • A passion for bridging the gap between research and production, moving beyond academic benchmarks to launch scalable solutions that directly impact millions of users. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $345,040-$399,420 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

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