layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Staff ML Engineer - Embodied AI Onboard Autonomy at General Motors | LAYIQ

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.
Your Skills & Abilities: Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
4+ years of experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models.
Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications.
Proven track record as a technical expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems.
Deep expertise in state-of-the-art computer vision techniques, 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.
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.

Staff ML Engineer - Embodied AI Onboard Autonomy

Employer job description

Key Responsibilities:

Why Join Us

Benefits Overview

About this listing