Senior Machine Learning Engineer - Offboard Perception for Autonomous SystemsGeneral Motors • United States

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Senior Machine Learning Engineer - Offboard Perception for Autonomous Systems

General Motors

United States

United States

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About

Job Description At General Motors, our mission is to redefine mobility through innovative technology and design. We are passionate about creating vehicles and experiences that are not only seen but felt. We're on a journey to turn the seemingly impossible into the standard. Our commitment to intelligent software, next-generation safety features, and connectivity is paving the way for the future of transportation on a global scale. If you are excited about the future of autonomous driving, we invite you to join our Embodied AI team. We focus on developing and deploying advanced machine learning solutions that ensure safe and reliable autonomous vehicle behavior in real-world scenarios. In this role as a Senior Machine Learning Engineer on the Prometheus team within the Embodied AI organization, you will lead efforts to design and implement offboard machine learning solutions that provide high-quality world estimates essential for multiple partner teams, including onboard model teams, simulation, and evaluation. Your work will impact every phase of the autonomous vehicle development process—from training and validation to testing and safety assurance. You'll collaborate with cross-functional engineering teams and play a vital role in influencing our technical direction while mentoring and supporting the growth of other engineers. What You'll Do Design and implement machine learning solutions that align with GM's objectives in autonomous driving. Utilize advanced techniques such as unsupervised pre-training, supervised learning, and foundation modeling to tackle challenges in object detection, tracking, and classification. Enhance model accuracy and efficiency through the strategic use of GM's large datasets, focusing on high-value data to address complex problems. Collaborate with various teams to ensure the deployment and servicing of models and algorithms at scale. Engage in applied research to stay updated on the latest advancements in ML frameworks and methodologies. Develop efficient infrastructure, pipelines, and tools to support rapid model iteration. Guide technical execution from initial prototyping through to production deployment, documenting insights and best practices. Mentor fellow engineers through collaboration and code reviews, promoting knowledge sharing and engineering excellence. Your Skills & Abilities Master's or PhD in Computer Science, Robotics, Machine Learning, or a related field. Experience with large-scale foundation models and their application in real-world systems. Proven ability to deliver practical machine learning solutions under real-world conditions and timelines. Proficiency in PyTorch and Python. Experience building and scaling model training pipelines for efficient team collaboration. Strong communication skills that enable effective collaboration with engineering teams. Experience deploying machine learning models in production environments and understanding end-to-end deployment workflows. Prior experience in robotics or autonomous driving systems is preferred. Remote/Hybrid:
This role is eligible for remote work; however, candidates residing within a 50-mile radius of Austin, Detroit, Warren, Milford, or Mountain View are expected to be on-site a minimum of three times per week. Compensation: The salary range for this role is $189,300.00 to $320,700.00. The actual base salary will be determined based on the candidate's experience and qualifications. Bonus Potential: Participation in an incentive pay program based on company performance, job level, and individual contribution. Benefits:
GM offers a comprehensive benefits package including medical, dental, vision, Health Savings Accounts, retirement plans, life insurance, paid time off, tuition assistance, and vehicle discounts. Relocation:
This job may qualify for relocation benefits. Company Vehicle:
After successfully passing a motor vehicle report review, you may participate in a company vehicle program, allowing you to drive and evaluate a General Motors vehicle. About GM Our vision is to achieve Zero Crashes, Zero Emissions, and Zero Congestion. We thrive on the responsibility to lead innovations that make transportation safer, more equitable, and sustainable for all. Join Us We believe in making meaningful choices every day to drive change through our actions and workplace culture. Our goal is for every employee to feel they are part of one General Motors team. Equal Opportunity Statement:
General Motors is committed to creating an inclusive environment free from discrimination. We strongly believe that diverse perspectives contribute to better products and a healthier work environment. We encourage applicants to review the key responsibilities and qualifications and apply for any positions that align with their skills. In the recruitment process, candidates may be required to complete role-related assessments and pre-employment screenings. Accommodations:
General Motors is dedicated to providing job seekers, including those with disabilities, meaningful opportunities. For accommodation requests related to your job application, please contact us via email or through our official channels.

United States

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English

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