Head of Applied AI Research & RL

Raydar

New York (NY)

Hybrid

USD 500,000 - 750,000

Full time

9 days ago

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Benefits offered by this job

Equity
Hybrid work

Job summary

Raydar is seeking a Head of Research to set the research roadmap and grow an applied research team while remaining hands-on with frontier AI problems. You will work directly with customer research teams and shape how environments, data and trajectories contribute to model capability.

In this role you will run hands-on experiments, hire and grow the team (at least four researchers), and partner with engineering, delivery and go-to-market to deploy research into production.

Qualifications

  • 8+ years as a research scientist or applied researcher.
  • Experience leading frontier AI labs or research teams.
  • A notable published paper or released model with strong benchmark results.
  • Hands-on expertise in real applied reinforcement learning model training.
  • Ability to set research direction, lead efforts and recruit while remaining hands-on.

Responsibilities

  • Set research priorities and own the applied research roadmap.
  • Hire and grow the research team (at least four researchers).
  • Collaborate with customer labs on reinforcement learning and post-training problems.
  • Run hands-on experiments and improve environments, datasets and trajectories.
  • Partner with engineering, delivery and go-to-market to productionize research.

Skills

Applied reinforcement learning
Team leadership
Research roadmap
Hands-on experimentation
Recruitment

Education

PhD in reinforcement learning or NLP

Tools

Qwen 2.5

Job description

Raydar is seeking a Head of Research to set the research roadmap and grow an applied research team while remaining hands-on with frontier AI problems. You will work directly with customer research teams and shape how environments, data and trajectories contribute to model capability.

In this role you will run hands-on experiments, hire and grow the team (at least four researchers), and partner with engineering, delivery and go-to-market to deploy research into production.

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