Skills & Technologies
Joblaze summary
In this role, the Software Engineer will focus on developing the infrastructure necessary for training and deploying machine learning models that enhance coding automation. Key skills include expertise in distributed systems and a solid understanding of language models, as the engineer will create libraries and systems to streamline data processing for research purposes. This position is ideal for someone with a strong technical background who thrives in a collaborative, innovative environment. Cursor's flat organizational structure encourages open dialogue and creative problem-solving among a small, dedicated team.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Cursor's career page.
- Cursor has 87 other open roles including RVP, Solutions Architect APJ, Strategic Account Executive, Enterprise APJ, Solutions Architect.
- 1581 active AI/ML roles on Joblaze right now.
- 68 active reinforcement learning roles on Joblaze right now.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, 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 Software Engineer, ML Research role at Cursor.
From the original posting
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
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