Chef Robotics, based in San Francisco, is seeking a Perception Engineer to develop robust AI and robotics solutions. This role involves designing deep learning models and optimizing them for real-time performance, specifically in food robotics. Candidates should have 5+ years of experience, a strong background in computer vision, and proficiency in Python and machine learning frameworks like PyTorch. The position offers a competitive salary between $170,000 - $240,000 annually, alongside a comprehensive benefits package including equity, medical insurance, and flexible PTO.
Qualifications
5+ years of experience in computer vision and machine learning.
Proven ability to build and optimize models for low-latency, real-time inference.
Experience with RGB-D sensors and depth cameras.
Responsibilities
Design, train, and optimize deep learning models for detection and segmentation.
Build low-latency inference pipelines for deployment on embedded hardware.
Develop multi-object tracking algorithms for reliable identification.
Skills
Deep expertise in instance/semantic segmentation
Object detection
3D perception
Multi-object tracking
Strong Python skills
Education
BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering
Tools
PyTorch
ROS
Docker
Kubernetes
Job description
Chef Robotics, based in San Francisco, is seeking a Perception Engineer to develop robust AI and robotics solutions. This role involves designing deep learning models and optimizing them for real-time performance, specifically in food robotics. Candidates should have 5+ years of experience, a strong background in computer vision, and proficiency in Python and machine learning frameworks like PyTorch. The position offers a competitive salary between $170,000 - $240,000 annually, alongside a comprehensive benefits package including equity, medical insurance, and flexible PTO.