Research Scientist, RL

Spectral Labs; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Health insurance (100% premium)

Dental

401(k) match

Meals & commuting expensed

Job summary

Spectral Labs is building foundation models for engineering physical systems. We’re seeking a Research Scientist to lead reinforcement learning work for engineering design, including environments over CAD geometry, rewards grounded in geometric validity, simulation, and manufacturability.

You will train and scale models at Spectral Labs, SF office, with visa sponsorship available. The role is fully in-person at our SF office.

Qualifications

• 7–10 years of research experience in RL, ML, or robotics.
• Strong fundamentals in ML and RL.
• Ability to write training code yourself.

Responsibilities

• Lead RL research for engineering design, building environments over CAD geometry.
• Design rewards grounded in geometric validity, simulation, and manufacturability.
• Oversee post-training of models at scale.

Skills

Reinforcement learning

Machine learning

Robotics

Tools

Python

PyTorch

TensorFlow

Job description

Spectral Labs is building foundation models for engineering physical systems. We’re looking for a research scientist to lead our work on reinforcement learning for engineering design: building environments over CAD geometry, designing rewards grounded in geometric validity, simulation, and manufacturability, and post-training our models at scale. You bring 7-10 years of research experience in RL, machine learning, or robotics, strong fundamentals, and the implementation skills to write the training code yourself. We’re excited about people who can make an impact, whatever their background.

This is a fully in-person role at our office in SF. Compensation and equity total $300-400k annually. We sponsor visas end-to-end, and benefits include health insurance (with a 100%-premium option), dental, a 401(k) match, and company-expensed meals and commuting.