Senior ML Engineer - Embodied AI Onboard Autonomy

General Motors (GM)

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $158,000–$241,900 / yr
Posted: 52 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k

This role $200k

$146k most similar roles pay here $269k

This role pays less than 63% of similar roles. Most pay $171,500–$246,150 — the shaded band above. At the midpoint, this role pays about $200k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 126 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

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At a glance

TL;DR · Senior ML Engineer - Embodied AI Onboard Autonomy

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As a Senior AI/ML Engineer in the Onboard Embodied AI team at General Motors, you will lead the design and deployment of advanced machine learning models that enable autonomous driving systems to navigate complex real-world scenarios. Your day-to-day responsibilities include architecting end-to-end ML solutions, mentoring engineers, and collaborating with cross-functional teams to integrate ML capabilities into autonomous vehicle systems. You will leverage modern frameworks like PyTorch and TensorFlow to develop robust deep learning models for real-time inference, focusing on scalability and safety-critical operations. This role requires a Master’s or Ph.D. in a relevant field, extensive experience in deploying advanced ML systems, and expertise in computer vision techniques, neural architectures, and model optimization under uncertainty. Experience with AV/ADAS is highly valued.

Skills

Python PyTorch TensorFlow JAX C++ Neural Networks Computer Vision Real-time Inference Model Optimization Scalability Robustness Safety-Critical Systems Deep Learning End-to-End ML CI/CD

What you'll do

Drive the design and deployment of advanced onboard ML models for real-time autonomous driving.
Lead complex machine learning projects from conception to validation, ensuring scalability and safety.
Innovate in neural network architectures and training methodologies for real-time onboard systems.
Mentor and elevate engineering practices, fostering ML innovation across multidisciplinary teams.
Ensure seamless integration of ML capabilities into autonomous vehicle systems through close collaboration.

What we're looking for

Master’s or Ph.D. in a relevant technical field.
3+ years of experience with modern machine learning techniques.
Extensive experience developing and deploying advanced ML systems for real-time onboard applications.
Expertise in deep learning, computer vision, neural architectures, and model optimization.
Strong software engineering skills in Python and C++, with proficiency in PyTorch, TensorFlow, or JAX.
Proven ability to lead technical projects and mentor engineers in a multidisciplinary team.

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