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