Posted by employer 9 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
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 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Cursor's careers page October 30, 2026.
- AI/ML appears in 52% of 477 comparable mid ai/ml roles in United States; 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: 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
Research Engineer
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 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
Standard company text repeated across Cursor's postings is omitted here.