Senior Machine Learning Engineer - Perception

16 days ago

San Jose, CA, USASenior

Responsibilities

Develop, implement, and optimize computer vision and machine learning algorithms for robotics systems.
Train, test, and deploy custom machine learning models on embedded systems.
Collaborate with cross-functional teams to integrate models and algorithms into products.
Research advances in computer vision and devise custom algorithms.
Develop scalable training pipelines in the cloud.
Maintain code documentation and unit tests.

Bachelor's or master's degree in computer science, robotics, electrical engineering, or a related field.
Strong background in machine learning modeling, object detection and segmentation, classical computer vision, and multi-view geometry.
Experience training multi-head deep learning architectures and familiarity with deep learning architectures for 3D vision.
Proficiency in PyTorch, C++, and Python.
Strong foundations in multi-view geometry.
Strong problem-solving, verbal communication, and written communication skills.
Experience with ROS 2 and TensorRT is a bonus.

Hybrid flexibility for selective roles, allowing work from the office and home.
Covered lunch on in-office days.
Comprehensive medical, dental, and vision insurance.
Mental health support and wellness programs.
Supportive collaborative culture, team events, and cross-functional collaboration.
Mission-driven work advancing robotics and outdoor autonomy.

51-200 employees