Job Details

Founding Machine Learning Engineer, Robot Learning

Founding Machine Learning Engineer, Robot Learning

Direct message the job poster from Deft Robotics

• Our mission is to build the world's first labor agency that deploys dexterous robots as its primary workforce.
• We start by tackling one of the most dull tasks in warehousing and logistics: packaging e-commerce orders.
• You'll be joining a team of extremely hardcore and self-motivated engineers, scientists, and operators who focus on winning 24/7.
• As a founding member of the technical staff, you will develop and own entire systems from design to deployment, playing a foundational role in deploying 5000+ robots by 2031.

What you'll do

• Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
• Improve reliability and inference speed for robot autonomy software stack
• Research and implement state-of-the-art robot learning policies, including reinforcement learning and imitation learning based techniques
• Design and maintain robust data collection and curation pipelines for production robot fleets
• Optimize robot policies for distributed training at scale and real-time edge deployment

Required Qualifications

• Master's 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.)
• 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
• Experience in deep imitation learning or reinforcement learning
• Background in real-time ML inference systems, simulation-to-reality transfer, or advanced reinforcement learning implementations
• Daily meals stipend

Expected Compensation

• $125,000 - $200,000/annual salary + cash and stock awards + benefits

Hiring process

• phone screen + 3-4 technical interviews + onsite

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Transportation, Logistics, Supply Chain and Storage

Referrals increase your chances of interviewing at Deft Robotics by 2x

Get notified about new Machine Learning Engineer jobs in San Francisco, CA.

San Francisco, CA $130,000.00-$230,000.00 5 months ago

Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube

Machine Learning Engineer (I, II, or Sr.)

San Francisco, CA $140,000.00-$180,000.00 5 months ago

San Francisco, CA $140,000.00-$160,000.00 5 months ago

San Francisco, CA $140,000.00-$215,000.00 1 month ago

Machine Learning Engineer (I, II, or Sr.)

Research Engineer - Machine Learning (ML)

San Francisco, CA $140,000.00-$160,000.00 4 months ago

San Francisco, CA $130,000.00-$238,000.00 2 weeks ago

San Francisco, CA $100,000.00-$180,000.00 1 year ago

San Francisco, CA $150,000.00-$250,000.00 2 weeks ago

San Francisco, CA $150,000.00-$260,000.00 4 months ago

San Mateo, CA $140,000.00-$210,000.00 2 weeks ago

San Francisco, CA $140,000.00-$290,000.00 7 months ago

Machine Learning Engineer, GenAI Applied ML

San Francisco, CA $176,000.00-$220,000.00 2 weeks ago

San Francisco, CA $140,000.00-$200,000.00 3 days ago

San Francisco, CA $88,000.00-$140,000.00 1 month ago

San Francisco, CA $100,000.00-$300,000.00 2 weeks ago

Machine Learning Engineers (Open-Endedness) - Open Level

San Francisco, CA $175,000.00-$250,000.00 6 days ago

San Francisco, CA $175,000.00-$225,000.00 7 months ago

Machine Learning Engineer, Identity Product

San Francisco, CA $160,000.00-$180,000.00 1 day ago

San Francisco, CA $200,000.00-$300,000.00 4 months ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.