Research Scientist, Machine Learning

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