Overview
Senior Machine Learning Engineer role for PhD candidates or graduates at Roblox, owning high-impact research-to-production projects end-to-end at world scale.
What you'll do
- Prototype and implement advanced AI and machine learning solutions that drive core platform features and innovation at scale.
- Develop and deploy cutting-edge models (e.g., deep learning, generative AI, multimodal architectures) to solve complex, high-impact technical challenges.
- Collaborate with applied researchers, engineers, and product teams to translate advanced research concepts into production-ready systems.
- Translate complex research into scalable, robust infrastructure that directly impacts hundreds of millions of daily active users.
- Work backward from user and product needs to architecture, and deliver ML solutions that improve platform engagement, safety, and content ecosystem growth.
What you'll need
- Possess or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas.
- Deep expertise and curiosity in a relevant technical domain, such as deep learning, computer vision, NLP, reinforcement learning, or distributed systems.
- Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems.
- A strong research track record, evidenced by multiple publications and presentations in rigorous peer-reviewed venues.
Details
- Location: San Mateo, CA, United States (headquarters).
- Office schedule: onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
- Annual base salary range: $196,750 – $243,290 USD; actual pay depends on job-related factors and may fall outside this range. Full-time employees are also eligible for equity compensation and benefits.
- For US based roles only: the Company may not be able to employ candidates who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Read the full description and apply on the company’s own careers page.