Robotics ML Engineer: Multimodal Perception & Action
Human Computer Lab
San Francisco (CA)
On-site
USD 120,000 - 150,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
Human Computer Lab in San Francisco is looking for a machine learning engineer to develop intelligent robotic systems. The candidate will work on multimodal models integrating computer vision, audio processing, and behavior. Key qualifications include 3+ years in machine learning, strong skills in Python and C++, and experience with frameworks like PyTorch. Join a focused team pushing human-robot interaction boundaries in a supportive environment that values diversity.
Qualifications
3+ years of experience in machine learning for robotics, controls, or perception.
Strong programming skills in Python and/or C++, understanding of algorithms.
Experience with machine learning frameworks such as PyTorch.
Responsibilities
Develop software systems for robotic platforms that enhance perception and behavior.
Build multi-modal machine learning models for computer vision and audio processing.
Integrate ML systems with robotic hardware and embedded systems.
Skills
Machine learning for robotics
Python
C++
Computer vision
AI frameworks (PyTorch)
Reinforcement learning
Multi-modal AI
Job description
Human Computer Lab in San Francisco is looking for a machine learning engineer to develop intelligent robotic systems. The candidate will work on multimodal models integrating computer vision, audio processing, and behavior. Key qualifications include 3+ years in machine learning, strong skills in Python and C++, and experience with frameworks like PyTorch. Join a focused team pushing human-robot interaction boundaries in a supportive environment that values diversity.