Applied Robot Learning Engineer / RL Specialist

Mountain Viewonsitemid$153K – $234K

Posted today · via Workday

About this role

Job Description Applied Robot Learning Engineer/RL Specialist Focus: Reinforcement Learning & Policy Optimization About the Role We are looking for an experienced applied robotics/robot learning engineer with strong reinforcement learning expertise and hands-on experience deploying learning-based policies for complex manufacturing tasks. The role primarily focuses on improving the performance of VLA/world models, addressing sim-to-real challenges, and developing robust and scalable policies for manipulation, failure recovery, and optimal execution. This is a hands-on role requiring real-world deployment experience, comfort working directly with robotic hardware, and the flexibility to support broader engineering and experimental tasks as project priorities evolve.…

Read the full description on General Motors's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, pytorch, git

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Mountain View. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonpytorchgit

More at General Motors

See all open jobs at General Motors →