6 days ago
Base Salary
$220k - $357k/yr
Responsibilities
- Design and run rigorous experiments that convert research ideas into measurable model-capability gains.
- Improve data recipes through data quality work, deduplication, and mixture experiments.
- Define effective RL data and rewards, including grader design and prevention of reward hacking.
- Advance training science through architecture, scaling, and post-training experiments for coding and computer-use agents.
- Build evaluations and targeted tasks to identify model weaknesses and guide research priorities.
- Partner with engineers to scale promising results from small experiments to frontier-scale training runs.
Requirements
- At least 3 years of hands-on experience training or post-training large neural networks with 1B+ parameters, including pre-training, fine-tuning, or RL methods such as RLHF or DPO.
- Production-quality programming experience in Python, PyTorch, JAX, Rust, or C++.
- Experience with RL algorithms for language models, scaling laws, or RL environments and evaluations is preferred.
- Experience with distributed training at scale, debugging large-scale issues, and training frontier-scale models is preferred.
- Strong foundations in reinforcement learning and machine learning, with excellent software engineering ability across the research stack.
- 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
- Annual base salary range of $220,000-$357,000 USD.
- Equity, comprehensive medical, vision, and dental coverage, and access to a 401(k) retirement plan.
- Short- and long-term disability insurance, life insurance, discounts, and other perks.
- Onsite role requiring in-person work at the Palo Alto office.
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.