Autonomy ML Research Engineer — RL & Post-Training

Metis, Inc.; San Francisco (CA); On-site; USD 200,000 - 1,000,000; Full time

Benefits offered by this job

Full medical, dental, and vision insurance

Wellness & Learning stipend

Unlimited Doordash meals

$25,000 housing stipend

Job summary

Metis, Inc. is seeking a Research Engineer to develop the next generation of autonomous post-training systems using their Mantis platform. The role involves designing and executing large-scale experiments, contributing to research, and collaborating with engineering teams to improve AI learning.

Candidates must have deep experience in machine learning, particularly in reinforcement learning, and a strong proficiency in Python along with ML frameworks. The position offers a base salary range of $200,000 to $1,000,000, full medical benefits, wellness stipends, and daily meals.

Qualifications

• Deep experience in machine learning, preferably in reinforcement learning or alignment.
• Demonstrated research contributions and ideally published papers.
• Strong proficiency in Python and ML frameworks.

Responsibilities

• Research and build an autonomous post-training agent leveraging the Mantis platform.
• Design and execute large-scale experiments on synthetic data generation.
• Collaborate cross-functionally to deploy and evaluate models.

Skills

Machine learning

Reinforcement learning

Python

ML frameworks (PyTorch, JAX, or TensorFlow)

Distributed training

Job description

Metis, Inc. is seeking a Research Engineer to develop the next generation of autonomous post-training systems using their Mantis platform. The role involves designing and executing large-scale experiments, contributing to research, and collaborating with engineering teams to improve AI learning.

Candidates must have deep experience in machine learning, particularly in reinforcement learning, and a strong proficiency in Python along with ML frameworks. The position offers a base salary range of $200,000 to $1,000,000, full medical benefits, wellness stipends, and daily meals.