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