Deft AI

Machine Learning Engineer

San Francisco

Sponsorship not specified$150k-$200kDetected 96 days ago

Machine LearningTensorFlowPyTorchRoboticsResearchPublic Speaking

About the role

Develop action refinement and safety layers that post-process VLA outputs - constraint satisfaction, collision and force guards, smoothing, and runtime monitors for safety-critical deployment
Design and maintain robust data collection and curation pipelines for production robot fleets
Build reliable, high-speed robot autonomy software stack optimized for inference
3+ years of proven track record developing and deploying ML systems from research through production implementation
We support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).

Hands-on experience with model lifecycle management including training, deployment, and maintenance in production settings

Authored or co-authored peer-reviewed publications in robotics or related fields
Hands-on experience designing and implementing bimanual manipulation tech stacks
Background in real-time ML inference systems, simulation-to-reality transfer, or advanced

Medical, dental & vision plans
$150,000 - $200,000 annual salary + cash and stock awards + benefits
The total compensation package may also include additional components/benefits depending on the specific role.
Daily meals stipend
Design and develop a modular robot autonomy stack that composes Vision-Language-Action (VLA) models with purpose-built modules to enable grasping and dexterous behaviors in unstructured environments
PhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
Deep expertise in machine learning fundamentals, reinforcement learning, and associated

This listing is sourced directly from Deft AI's careers page and normalized into a canonical job model.