ML Engineer, Manipulation

What this role involves

The role focuses on developing and deploying learning-based manipulation systems for mobile robots in dynamic human environments. Responsibilities include building training datasets, evaluation metrics, sim-to-real workflows, and optimizing models for edge deployment. Candidates should have a Bachelor's or Master's in a relevant field and 3+ years of experience applying ML to robotics manipulation.

Skills this posting asks for

• python
• pytorch
• machine learning
• robotics manipulation
• visuomotor control
• sequence models
• dataset creation
• augmentation
• distributed training
• sim-to-real
• simulation
• domain randomization
• model distillation
• edge deployment
• onnx
• tensorrt
• quantization
• performance profiling
• vision-language-action models
• behavior cloning
• transformer policies
• diffusion policies
• isaac sim
• mujoco

Requirements

• 3 years of experience
• Level: mid

From the employer’s posting

What we’re doing isn’t easy, but nothing worth doing ever is.  We envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environment…