Model Engineer

About this role

Conduct research and engineering to improve frontier coding and computer-use models through reinforcement learning, mid-training, and post-training. Own research problems end to end, from hypotheses and experiments to evaluations and scaling promising results to large training runs.

About the company

Cursor builds an AI coding editor and agent workflows that help developers write and ship software faster. It serves software teams looking for tighter AI assistance inside the IDE.

The team

Machine Learning

Stack

What you'll do

• Design rigorous experiments to improve model capabilities
• Improve training data quality, deduplication, and data mixtures
• Develop RL data, rewards, and graders while mitigating reward hacking
• Advance model training, scaling, and post-training methods
• Build evaluations and targeted tasks to identify model weaknesses
• Scale promising research results into frontier training runs

What we're looking for

• Production-quality coding experience in Python, PyTorch, JAX, Rust, or C++
• Strong fundamentals in reinforcement learning and machine learning
• Ability to own ambiguous research tasks with little guidance
• Experience training large models through pretraining, post-training, or RL
• Original ML work demonstrated through research, open source, or production impact

Nice to have

• Experience with RL algorithms for language models, scaling laws, or RL environments and evaluations
• Distributed training experience and ability to debug issues at scale
• Experience training frontier-scale models
• MS or PhD in computer science, machine learning, mathematics, physics, or a related field, or equivalent research experience

Benefits

• Equity
• Medical, vision, and dental coverage
• 401(k) retirement plan
• Short- and long-term disability insurance
• Life insurance
• Discounts and other perks