RL Engineer + Production AI Lead (SF Startup)

raydar

San Francisco (CA)

Vor Ort

USD 125.000 - 200.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Performance bonus
In-office in San Francisco

Zusammenfassung

Raydar is seeking a Machine Learning Engineer to join as the first engineering hire in San Francisco. You will build reinforcement learning environments from proprietary datasets and deploy AI agents for business customers.

You will help shape technical priorities with leadership, take on engineering leadership as the team grows, and deliver quickly without sacrificing quality in a startup setting. This role requires 3 to 7 years in ML with RL fundamentals and hands-on production experience; Bay

Qualifikationen

  • 3 to 7 years of engineering experience with reinforcement learning fundamentals.
  • Hands-on experience building and running AI agents in production.
  • Experience building RL environments and deploying AI systems in production.
  • Bay Area living or willingness to relocate to the Bay Area for in-office work.

Aufgaben

  • Build reinforcement learning environments from proprietary datasets.
  • Develop and deploy AI agents for business customers.
  • Help company leadership decide technical direction and plan what to build next.
  • Take on leadership of the engineering team as it expands.
  • Deliver quickly without lowering quality standards in a startup setting.

Kenntnisse

Reinforcement learning
AI agent development
Production ML systems
AI-assisted coding tools

Tools

TypeScript
AWS
React Native
Swift

Jobbeschreibung

Raydar is seeking a Machine Learning Engineer to join as the first engineering hire in San Francisco. You will build reinforcement learning environments from proprietary datasets and deploy AI agents for business customers.

You will help shape technical priorities with leadership, take on engineering leadership as the team grows, and deliver quickly without sacrificing quality in a startup setting. This role requires 3 to 7 years in ML with RL fundamentals and hands-on production experience; Bay

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