Senior Machine Learning Engineer

General Motors

Machine Learning Engineer developing robotic and AI solutions for an autonomous vehicle company. Involves research, design, and implementation across the complete machine learning cycle.

Posted 6/25/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $290,000 - $359,600 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Research, design, develop and test robotic and machine learning applications for an AV company.
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.

Requirements

What you’ll need

Master's degree in Data Science, Aerospace Engineering, Automotive Engineering, Computer Engineering, Robotics or a related field
Three (3) years of experience in Machine Learning Engineer, Computer Vision Engineer, Systems Engineer, Software Engineer, Data Scientist or related occupations
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.

Benefits

Comp & perks

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningconvolutional neural networksalgorithm designmodel trainingPythonC++ROSdata structuresmachine learning model optimization

Soft Skills

collaborationproblem-solvinginnovationdebuggingcommunication

Certifications

Master's degree in Data ScienceMaster's degree in Aerospace EngineeringMaster's degree in Automotive EngineeringMaster's degree in Computer EngineeringMaster's degree in Robotics