Research Scientist
Raydar
Research Scientist
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-10-16
Salary: USD 150,000–250,000
Workplace: on_site
About the company
Our client is a technology company.
The role
Raydar is recruiting for this role on behalf of our client. Plan and carry out machine learning experiments that clarify how different training data shapes model behavior. Convert the findings into practical recommendations and contribute to shared evaluation tooling, collaborating with outside partners and internal colleagues.
What you'll do
- Run controlled fine-tuning and reinforcement learning experiments to measure how training data affects model performance.
- Help build public evaluations and new kinds of training data.
- Share findings publicly through articles, written reports and similar technical content.
- Partner with internal teams to improve data quality based on experimental findings.
- Present results to external partners as clear, well-supported evidence.
What we're looking for
- Strong familiarity with large language model training and evaluation methods.
- Hands-on experience setting up, running and interpreting controlled experiments without close supervision.
- Skill at running quick, small-scale tests and drawing useful conclusions from noisy results.
- Comfort working across several domains, such as finance, software engineering and policy.
- A preference for building and testing over theorizing.
- Prior experience at a leading AI research lab.
- 0 to 4 years of relevant experience.
Compensation and benefits
- Base salary: USD 150,000 to 250,000 per year
- Health insurance
Location and work model
- San Francisco, California, United States
- On-site
- Full-time
Powered by Workable
Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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