⁠⁠Machine Learning Engineer

Required Qualifications

• PhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
• Deep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)
• 3+ years of proven track record developing and deploying ML systems from research through production implementation
• Hands-on experience with model lifecycle management including training, deployment, and maintenance in production settings

Preferred Qualifications

• Authored or co-authored peer-reviewed publications in robotics or related fields
• Hands-on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methods
• Background in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementations

Benefits

We support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).

Medical, dental & vision plans

Daily meals stipend

Application Required

• Required Resume

Hiring Process

Phone screen + 2 virtual technical interviews + onsite

Expected Compensation

$150,000 - $200,000 annual salary + cash and stock awards + benefits

The Pay Offered For This Position May Vary Based On Several Individual Factors, Including Job-Related Knowledge, Skills, And Experience.

The Total Compensation Package May Also Include Additional Components/Benefits Depending On The Specific Role.

This Information Will Be Shared If An Employment Offer Is Extended.

Onsite Work Requirement

This is a full-time, five-day-a-week onsite role in our San Francisco, CA, office.

US Work Authorization Required

Are you a US Citizen, Green Card Holder or Valid Visa Holder (H1-B, O-1, TN, E-3, OPT, etc)?