Applied RL Researcher for Production Systems

Autohand AI Ltd.; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Publications

Job summary

Autohand AI Ltd. in San Francisco is seeking a Reinforcement Learning Researcher with a strong product mindset to join our research team.

You'll develop RL systems that enable autonomous programming agents to learn and improve from real-world feedback. The role emphasizes designing reward functions, training pipelines, and evaluation frameworks that push the boundaries of what autonomous systems can achieve.

Qualifications

• PhD or equivalent in RL/ML is required.
• Strong track record in reinforcement learning research.
• Experience shipping ML systems to production.
• Product-oriented mindset with ability to prioritize impactful research.

Responsibilities

• Design and implement RL algorithms for autonomous code generation and modification.
• Develop reward models and training pipelines that align with product goals.
• Build evaluation frameworks to measure agent performance and safety.
• Collaborate with product teams to understand user needs and translate them into research directions.
• Ship research to production and iterate based on real-world feedback.
• Contribute to technical publications and open-source releases.

Skills

Product-oriented mindset

Strong RL research track record

Excellent communication

Cross-functional collaboration

Education

PhD or equivalent in RL/ML

Tools

Python

PyTorch

JAX

Job description

Autohand AI Ltd. in San Francisco is seeking a Reinforcement Learning Researcher with a strong product mindset to join our research team.

You'll develop RL systems that enable autonomous programming agents to learn and improve from real-world feedback. The role emphasizes designing reward functions, training pipelines, and evaluation frameworks that push the boundaries of what autonomous systems can achieve.