Senior AI/ML Engineer - Future Sensing, Embodied AI

General Motors (GM)

Remote Hybrid

Quick summary

Work type: Remote
Location: Sunnyvale, CA
Salary: $182,400–$250,600 / yr
Posted: 3 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k

This role $216k

$161k most similar roles pay here $260k

This role pays more than 57% of similar roles. Most pay $172,000–$246,150 — the shaded band above. At the midpoint, this role pays about $216k 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 131 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 AI/ML Engineer - Future Sensing, Embodied AI

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As a Senior AI/ML Future Sensing Engineer in the Embodied AI team at General Motors, you will develop and evaluate machine learning solutions to enhance autonomous vehicle performance, focusing on perception models that integrate data from cameras, lidar, radar, and multi-modal sensor fusion. Your daily tasks include applying advanced techniques like unsupervised pre-training and reinforcement learning to solve real-world problems in object detection and tracking, while also contributing to the definition of robust metrics for model evaluation under various environmental conditions. You will work closely with cross-functional teams to integrate models into production pipelines and support deployment-oriented workflows, ensuring that research advancements are translated into practical applications. Proficiency in PyTorch and Python is essential, along with experience in data processing tools like NumPy and Pandas, as well as model validation and debugging skills. Ideal candidates have a background in machine learning or robotics and experience with large-scale datasets and multi-modal sensor fusion systems.

Skills

PyTorch Python Apache Spark Pandas NumPy Kubernetes Docker CI/CD Git AWS GCP Azure PostgreSQL MongoDB Jenkins GitHub GitLab Confluence Jira

What you'll do

Develop and improve AI/ML solutions for autonomous driving objectives.
Apply advanced ML techniques to solve object detection, tracking, and classification problems.
Evaluate perception models using real and synthetic data across various conditions.
Implement robust metrics for model performance under diverse environmental scenarios.
Contribute to production pipelines for model evaluation and deployment support.
Collaborate on integrating AI/ML systems into onboard driving systems and workflows.

What we're looking for

Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related field.
Experience applying machine learning techniques to real-world systems or large-scale datasets.
Proficiency in PyTorch and Python with strong data processing skills using NumPy, Pandas, and Apache Spark.
Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains.
Expertise in model validation, debugging, and failure analysis in ML or perception settings.