Senior Machine Learning Engineer II - Autonomous Vehicles at General Motors
Overview
The Senior Machine Learning Engineer II leads development of robotic and machine learning applications for an AV company. This role focuses on designing and testing ML solutions to drive innovation in autonomous operations. Responsibilities include contributing to the full ML pipeline and collaborating with cross-functional teams. This position offers unique exposure to cutting-edge technologies and impact on zero crash safety initiatives.
What You'll Do9
- 1Design and build novel machine learning models utilizing CNNs and Generative AI for enhanced object detection
- 2Integrate multi-sensor data including camera radar LiDAR and HD maps for improved perception
- 3Develop auto-labeling techniques to accelerate data annotation processes
- 4Optimize large-scale data generation and analytics pipelines
- 5Implement sensor fusion strategies for robust autonomous vehicle perception
- 6Drive debugging of real-time perception-related issues in ride-hail fleets
- 7Collaborate with engineering teams to ensure safe autonomous vehicle operations
- 8Lead machine learning model optimization efforts
- 9Create scalable solutions for autonomous driving challenges
Requirements9
- 1Master's degree in Data Science Aerospace Engineering Automotive Engineering Computer Engineering Robotics
- 2Three years of experience in Machine Learning Engineer roles
- 3Expertise in Radar Perception using AI and Monocular 3D object detection
- 4Proficiency in autonomous vehicle sensor fusion techniques
- 5Strong background in Python C++ and ROS programming
- 6Experience with machine learning model optimization and auto-labeling methods
- 7Ability to generate large-scale datasets and perform advanced mathematical analysis
- 8Familiarity with advanced mathematical concepts for ML refinement
- 9Background in Computer Engineering or related fields
Salary Insight
$290 - $360k per year
Location
Required Skills
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