AI Research Scientist - RL & Environment Generation

Cerebro; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cerebro, a leading applied AI research lab in San Francisco, seeks an AI Research Scientist focused on reinforcement learning to push the frontiers of RL techniques and their use with large models.

You will develop optimization-based methods for automated RL environment generation, establish baselines for environment quality, design infrastructure for dynamic environments from historical data and agent evaluations, and drive your own research agenda.

Qualifications

• PhD (or equivalent) in machine learning, computer science or a related field.
• Strong publication record and/or evidence of research impact (open source, deployed systems, etc.).
• Deep expertise in reinforcement learning and machine learning fundamentals.

Responsibilities

• Develop novel optimization-based methods for automated RL environment generation.
• Establish baselines for evaluating the quality and diversity of RL environments.
• Design infrastructure to create dynamic environments from historical datasets and agent evaluations.
• Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community.

Skills

Python proficiency

RL expertise

Education

PhD or equivalent experience

Tools

PyTorch

JAX

Job description

Cerebro, a leading applied AI research lab in San Francisco, seeks an AI Research Scientist focused on reinforcement learning to push the frontiers of RL techniques and their use with large models.

You will develop optimization-based methods for automated RL environment generation, establish baselines for environment quality, design infrastructure for dynamic environments from historical data and agent evaluations, and drive your own research agenda.