# Research Scientist, Machine Learning > Raydar · San Mateo, United States · Full-time · Posted 2026-10-15 **Salary:** USD 200,000–400,000 **Workplace:** on_site ## Description About the company Our client is a software company. The role Raydar is recruiting for this role on behalf of our client. Act as a senior individual contributor who defines and drives a research program on how machine learning systems keep improving after deployment. Collaborate with engineers to carry experimental results through to shipped features. What you'll do \- Lead a new research program from the ground up, covering how models retain knowledge, adjust quickly and get better on their own. \- Guide technical direction as a senior contributor alongside a compact group of researchers and engineers. \- Turn promising ideas from the roadmap into running experiments quickly. \- Work with software and ML engineers to move findings into production, from building datasets through evaluation to integration into the product. \- Aim for meaningful advances and share results with the wider research community. ## Requirements What we're looking for \- A doctorate, or comparable hands-on experience, in a quantitative or technical discipline. \- About 3 to 7 years doing applied research, whether at a startup, a research lab or a large technology firm. \- A research background in models that learn continuously, adapt with little data, improve themselves or build memory. Work in reinforcement learning or agent systems alone does not meet this bar. \- Practical experience with post-training of large models, including supervised and reinforcement-based approaches. \- A history of turning research concepts into working production systems, ideally in an early-stage environment. \- Papers accepted at leading machine learning conferences or journals. \- Strong coding skills in Python, a major deep learning framework and large-scale multi-machine training. \- Energy for a fast-paced startup where you own outcomes. \- Ability to work on-site at the office. Bonus points \- Prior time at a research lab, large technology company or leading AI developer. \- Experience applying post-training techniques to agents that handle long, multi-step tasks. ## Benefits Compensation and benefits \- Base salary: USD 200,000 to 400,000 per year \- Equity Location and work model \- San Mateo, CA, United States \- On-site \- Full-time ## Apply [Apply at Raydar](https://apply.workable.com/raydar/j/28C73AC12C/apply) --- Powered by [Workable](https://www.workable.com)