Senior Machine Learning Engineer II

Role Description

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 (e.g., 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.

Qualifications

• Master's degree in Data Science, Aerospace Engineering, Automotive Engineering, Computer Engineering, Robotics or a related field.
• Three (3) years of experience in the job offered, Machine Learning Engineer, Computer Vision Engineer, Systems Engineer, Software Engineer, Data Scientist or a related occupation.
• Background, education, or experience must include:
• 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.

Requirements

• The expected base compensation for this role is $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.

Benefits

• From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
• Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.