Staff AI/ML Engineer - Onboard Embodied AI

General Motors of Canada; Mountain View (CA); Hybrid; USD 186,000 - 286,000; Full time

Job summary

Join a forward-thinking company as a Technical Lead in Machine Learning, where you'll drive innovative ML solutions for autonomous vehicles. In this hybrid role, you'll lead the design and deployment of advanced ML models that transform raw sensor data into actionable driving behaviors. Collaborate with multidisciplinary teams, mentor engineers, and shape the future of onboard ML capabilities. This is an exciting opportunity to influence cutting-edge technology in a collaborative environment dedicated to redefining autonomy and ensuring safety on the roads.

Benefits

Paid Time Off

Comprehensive Health Plans

401K Matching

Tuition Assistance

Vehicle Discounts

Qualifications

• 8-10+ years of experience in developing and deploying advanced ML systems.
• Proven leadership in developing deep learning models for safety-critical systems.

Responsibilities

• Drive design and deployment of onboard ML models for autonomous driving.
• Lead complex ML projects focusing on scalability and safety.
• Mentor and provide technical leadership across teams.

Skills

Machine Learning

Deep Learning

Python

C++

Neural Networks

Robotics

Real-time Systems

ML Frameworks (PyTorch, TensorFlow, JAX)

Education

Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering

Job description

Job Description

Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to the Mountain View Technical Center in the Bay Area at least three times per week.

Role: As a Technical Lead in Machine Learning within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions that directly impact autonomous driving performance. Your responsibilities include designing, architecting, and deploying advanced ML models to convert raw sensor data into actionable driving behaviors, enabling vehicles to navigate real-world scenarios robustly. You will lead technical initiatives, collaborate with cross-functional teams, mentor ML engineers, and influence the future of onboard ML capabilities.

About the Organization: The Onboard Embodied AI team develops onboard ML systems powering fully autonomous vehicles. We utilize modern end-to-end machine learning approaches with neural networks trained on large-scale driving data and state-of-the-art alignment techniques. Our solutions help vehicles understand complex environments, handle uncertainty, and adapt to changing conditions. Join a collaborative team redefining autonomy through innovative ML solutions.

What You'll Do:

1. Drive the design, development, and deployment of onboard ML models capable of real-time inference for autonomous driving.
2. Lead and architect complex ML projects from conception to onboard implementation, focusing on scalability, robustness, and safety.
3. Innovate in neural network architectures, training methods, and inference optimization for real-time deployment.
4. Mentor and provide technical leadership, promoting ML best practices across teams.
5. Work closely with multidisciplinary engineering teams to integrate ML capabilities into vehicle systems.
6. Shape the technical roadmap and align ML priorities with company goals.

Your Skills & Abilities:

• Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field.
• 8-10+ years of experience developing and deploying advanced ML systems, especially in real-time onboard applications.
• Proven leadership and expertise in developing deep learning models for safety-critical systems.
• Deep knowledge of modern ML techniques, neural architectures, inference, and robustness under uncertainty.
• Strong software skills in Python and C++, with experience in ML frameworks like PyTorch, TensorFlow, JAX.
• Excellent communication, collaboration, and mentoring skills.
• Bonus: Experience with AV/ADAS systems.

Compensation: The estimated salary range is $186,200 to $285,300, with actual offers varying based on experience and location. Incentive pay is available based on performance.

Relocation: May be eligible for relocation benefits.

#LI-MH2

About GM: Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We strive to lead change for a better, safer, and more equitable world.

Why Join Us: We aim to be the most inclusive company globally, fostering a culture of belonging and impact through our Work Appropriately philosophy, allowing flexible work arrangements.

Benefits Overview: Our total rewards include paid time off, comprehensive health plans, 401K matching, recognition programs, tuition assistance, and vehicle discounts.

Diversity & Inclusion: We are committed to a discrimination-free workplace that embraces diversity, ensuring all employees can thrive and contribute to innovative products.

EEO Statement: GM is an equal opportunity employer. We provide accommodations for applicants upon request via email at [e-mail].