Machine Learning Engineer
Core
Deploy and fine-tune computer vision and audio models on hardware for robotics products, evolving the core ML library and integrating LLM pipelines.
Role type
Founding Machine Learning Engineer (Embedded AI & Robotics)
Builds
On-device computer vision and audio models for consumer robotics units
Domain
Robotics, Embedded AI, Computer Vision, Audio Processing
Deliverable
production ML models
Required skills
Embedded AI development, on-device model deployment, computer vision, audio model processing, API design, infrastructure scaling, LLM integration, rapid prototyping
Preferred skills
Master's or PhD in CS/ML, track record in shipping embedded AI, startup speed, skepticism-driven problem solving
Technologies
Computer vision frameworks, audio processing libraries, LLM pipelines, embedded hardware platforms
Responsibilities
Deploy and fine-tune models directly on hardware, evolve architecture and API design, prototype new AI capabilities for robotics, build integrations for LLM and audio pipelines
Seniority
Founding, hands-on IC
