Software Engineer, ML Research
at Cursor.ai
Posted 19 hours ago
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- United States
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**Software Engineer, ML Research**: San Francisco/NYC-based role. Develop and scale ML models for coding automation. Key responsibilities include designing, implementing, and optimizing training/inference RL systems. Required skills: Python, PyTorch, and distributed system experience. 3+ years in ML/CS roles, PhD or MS preferred. Join a flat, talent-dense organization for spirited, innovative work.
Department: Engineering
Team: Machine Learning
Location: San Francisco
Additional Locations: New York
Employment Type: FullTime
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
Research Engineer
Cursor is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.
About the role
We’re looking for Research Engineers to build the training, inference, and data systems behind our frontier coding models. You’ll work directly with researchers to make progress repeatable and iteration fast.
What you’ll do
Build our distributed training, inference, and RL infrastructure
Write libraries to simplify how researchers do large-scale data jobs
Architect the systems that turn Cursor user data into effective training data
You may be a fit if
You have a strong infrastructure/distributed systems background
You are able to architect and ship end-to-end with high ownership
You have strong intuitions about how language models work
You’re excited to learn more about ML
#LI-DNI
