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About the Role

Research, design, develop and test robotic and machine learning applications for an AV company, contributing to the complete machine learning cycle and formulating problem statements specific to autonomous operations.

Responsibilities

• 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

• 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).
• Background, education, or experience must include Monocular 3D object detection.
• Background, education, or experience must include Autonomous Vehicle Sensor Fusion.
• Background, education, or experience must include Data Structures and Python, C++, and ROS programming.
• Background, education, or experience must include Machine Learning Model Optimization.
• Background, education, or experience must include Developing Auto-Labeling Techniques.
• Background, education, or experience must include Large-Scale Data Generation and Analytics.
• Background, education, or experience must include Experience with Utilizing Advanced Mathematical Concepts to develop and refine Machine Learning Models.

Skills

• Robotic and machine learning applications
• Machine learning cycle
• Data collection, labeling, processing, algorithm design, model training, and evaluation
• Problem formulation for autonomous operations
• Machine learning models and algorithms
• Deep learning architectures, loss functions, and training protocols
• Convolutional neural networks
• Generative AI
• Object detection and perception
• Kinematics, intent, and short-term trajectory predictions
• Sensor integration (Camera, RADAR, LiDAR)
• High Definition Maps
• Temporal data streams
• Debugging real-time perception issues
• Radar Perception using AI
• Monocular 3D object detection
• Autonomous Vehicle Sensor Fusion
• Data Structures
• Python programming
• C++ programming
• ROS programming
• Machine Learning Model Optimization
• Auto-Labeling Techniques
• Large-Scale Data Generation and Analytics
• Advanced Mathematical Concepts for Machine Learning Models

Location

• Remote

Work Type

• Full-time
• Remote

Experience Level

• 3 years of experience

Education Level

• Master's degree

Salary/Compensations

• $290,000 to $359,600 Annually
• 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.
• GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

About the Company

• Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
• We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture.
• Every day, we want every employee to feel they belong to one General Motors team.
• We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.
• Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.
• We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
• We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team.
• Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com).

Equal Opportunity

• General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
• We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
• All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
• We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
• Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
• General Motors offers opportunities to all job seekers including individuals with disabilities.
• If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.
• In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.