Posted by employer 9 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 17 hours ago
Skills & Technologies
Requirements
- Education
- PhD
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Research Scientist will tackle complex research challenges in reinforcement learning (RL), from hypothesis formation to experiment design and implementation. Candidates should possess a strong foundation in machine learning and programming, as well as the ability to navigate ambiguous tasks independently. This position is ideal for those who thrive in a collaborative, flat organizational structure and are passionate about advancing the science of coding automation.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Cursor's careers page October 31, 2026.
- reinforcement learning appears in 4.4% of 477 comparable mid ai/ml roles in United States.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: reinforcement learning.
- What seniority level is this role?
- Cursor targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Scientist role at Cursor.
From the original posting
Research Scientist
SpaceXAI 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 Scientists who can drive effective RL or mid-training research in a small-team setting. You’ll own ambiguous, hard research problems end-to-end: forming hypotheses, designing experiments, building the training/eval/data needed to test them, and pushing results into the next model. You should expect significantly more scope and autonomy than in other research labs.
What you’ll do
Improve our understanding of RL, what it takes to handle longer horizon tasks, and train with less compute
Train graders to improve performance on coding tasks with non-verifiable reward
Improve the quality and difficulty of datapoints we use for training our models
Realtime RL for coding agents
You may be a fit if
You have a deep background in RL and strong machine learning fundamentals
You’re an excellent programmer and software engineer
You can handle ambiguous research tasks with little guidance
You care a lot about data quality, and can dive into the data when appropriate
You are truth seeking, aiming to learn more about the science than proving your ideas are correct.
#LI-DNI
Standard company text repeated across Cursor's postings is omitted here.