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Senior Machine Learning Engineer IIGeneral Motors • San Francisco, California, United States
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Senior Machine Learning Engineer II

General Motors
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Jetzt Bewerben

Über

DUTIES Research, design, develop and test robotic and machine learning applications for an AV company. Duties may include: Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. Formulate problem statements specific to autonomous operations and design innovative solutions to address them. Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and training protocols. Utilize advanced machine learning techniques such as convolutional neural networks and Generative AI to enhance object detection and perception. Work on improving perception properties of detected objects, such as their kinematics, intent, and short-term trajectory predictions. Develop and implement novel solutions to integrate multiple sensors (Camera, RADAR, LiDAR) and other contextual information like High Definition Maps and temporal streams of data. Collaborate with the team to ensure the safe and efficient operation of autonomous vehicles. Provide support on debugging real-time issues on the ride-hail fleet that are due to perception related problems. May telecommute.
REQUIREMENTS Master's degree in Data Science, Aerospace Engineering, Automotive Engineering, Computer Engineering, Robotics or a related field and three years of experience in the job offered, Machine Learning Engineer, Computer Vision Engineer, Systems Engineer, Software Engineer, Data Scientist or a related occupation.
Radar Perception using AI (artificial intelligence)
Monocular 3D Object Detection
Autonomous Vehicle Sensor Fusion
Data Structures and Python, C++, and ROS programming
Machine Learning Model Optimization
Developing Auto-Labeling Techniques
Large-Scale Data Generation and Analytics
Experience with Utilizing Advanced Mathematical Concepts to develop and refine Machine Learning Models
COMPENSATION
Expected base compensation: $290,000 to $359,600 annually.
Actual base compensation within the identified range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
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  • San Francisco, California, United States

Sprachkenntnisse

  • English
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