6 days ago
Base Salary
$160k - $250k/yr
Responsibilities
- Design and run experiments that convert research ideas into measurable model-capability improvements.
- Improve RL data recipes through data quality, deduplication, and mixture experiments.
- Define high-quality RL data and rewards, including grader design and reward-hacking prevention.
- Advance training science through architecture, scaling, and post-training experiments for coding and computer-use agents.
- Build evaluations and targeted tasks that reveal model weaknesses.
- Partner with engineers to scale successful experiments to frontier-scale training runs.
Requirements
- Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++.
- Ability to own ambiguous research problems and directions end to end.
- Experience with RL algorithms for language models, scaling laws, or RL environments and evaluations is preferred.
- Experience with distributed training at scale and debugging large-scale issues is preferred.
- Experience training frontier-scale or large models through pretraining, post-training, or RL is preferred.
- Strong RL and machine learning fundamentals and excellent software-engineering skills are preferred.
- A track record of original ML work demonstrated through research, open source, or production impact is preferred.
- MS or PhD in computer science, machine learning, mathematics, physics, or a related field, or equivalent research experience.
- Ability to work onsite at the Palo Alto office.
Benefits
- Onsite position at the Palo Alto office.
- Equity and comprehensive medical, vision, and dental coverage.
- Access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks.
Categories
AI ResearchML Engineering
About Cursor
Cursor is an AI-powered code editor and coding assistant from Anysphere, built for professional software engineers and enterprise teams. It combines a VS Code–style editor with integrated AI chat, code generation, and repo-aware refactoring, and is sold via individual, team, and enterprise subscriptions. The company also targets sectors like healthcare and state and local education with field engineers who support evaluations and proofs of concept.