Staff AI/ML Engineer - Onboard Embodied AI

About the Organization : The Onboard Embodied AI team is at the forefront of developing groundbreaking onboard ML systems powering fully autonomous vehicles. We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art alignment approaches. Our solutions enable vehicles to understand complex, dynamic driving environments, handle uncertainty gracefully, and adapt seamlessly to changing conditions. Join a collaborative and innovative team redefining autonomy through state-of-the-art machine learning, delivering solutions that move beyond current technological boundaries.

What You'll Do:

• Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance.

• Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation.

• Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment.

• Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams.

• Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems.

• Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.

Additional Description

Your Skills & Abilities:

• Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.

• 8-10+ years of extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications.

• Proven track record as a technical leader and expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems.

• Deep expertise in modern machine learning techniques, including neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty.

• Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX).

• Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization.

• Bonus: AV/ADAS experience is a big plus

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $186,200 to $285,300. The actual base salary a successful candidate will be offered within this 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.

Relocation: This job may be eligible for relocation benefits.

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