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Raydar

AI-powered recruiting agency for tech roles

Research Scientist - Machine Learning

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA

About the Job

Requirements

  • A doctorate, or comparable hands-on experience, in a quantitative or technical discipline.
  • About 3 to 7 years of applied research experience at a startup, research lab or large technology firm.
  • Research background in models that learn continuously, adapt with little data, improve themselves or build memory; reinforcement learning or agent systems alone is insufficient.
  • Practical experience with post-training 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.
  • Ability to work on-site at the office.

Responsibilities

  • Lead a new research program from the ground up, covering how models retain knowledge, adjust quickly and improve autonomously.
  • 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 machine learning engineers to move findings into production, from building datasets through evaluation to product integration.
  • Pursue meaningful advances and share results with the wider research community.

Desired Qualifications

  • Prior experience at a research lab, large technology company or leading artificial intelligence developer.
  • Experience applying post-training techniques to agents that handle long, multi-step tasks.

About the Company

Raydar

AI-powered recruiting agency for tech roles

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.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Santa Monica, CA
Founded
2021

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