Senior AI/ML Engineer - Future Sensing, Embodied AI

General Motors; California (MO); Hybrid; USD 182,400 - 250,600; Full time

Benefits offered by this job

Health and wellbeing programs

Retirement savings plan

GM vehicle discounts

Tuition assistance programs

Job summary

General Motors is looking for a Senior AI/ML Future Sensing Engineer to join their Embodied AI team. This role focuses on developing machine learning solutions for autonomous vehicle behavior across various scenarios.

Key responsibilities include evaluating AI/ML models, collaborating with teams to integrate algorithms, and utilizing sensor data for autonomous driving solutions. The position is fully remote or hybrid and offers a competitive salary and benefits.

Qualifications

• Experience applying machine learning techniques to real-world systems or large-scale datasets.
• Experience building AI/ML or perception systems in autonomy, robotics, or computer vision.
• Proficiency in PyTorch and Python.

Responsibilities

• Develop and improve AI/ML solutions for autonomous driving.
• Evaluate perception models for sensor studies.
• Collaborate with cross-functional teams on model integration.

Skills

Machine learning techniques

AI/ML systems

Computer vision

PyTorch

Python

Data processing skills

Cross-functional collaboration

Education

Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related field

Tools

NumPy

Pandas

Apache Spark

Job description

About the Role

At General Motors, the Embodied AI team is building machine learning solutions that enable safe and reliable autonomous vehicle behavior across real-world scenarios. The Senior AI/ML Future Sensing Engineer will develop and evaluate ML and perception models, contribute to future sensing architecture decisions, and translate research into production-ready solutions.

What You’ll Do

• Develop and improve AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives.
• Apply techniques such as unsupervised pre‑training, imitation learning, reinforcement learning, model scaling, and foundation modeling to solve problems in object detection, tracking, classification, perception, and safe AI.
• Develop and evaluate perception models and components for sensing studies involving cameras, lidar, radar, and multi‑modal sensor fusion.
• Implement and evaluate models, incorporating research advancements into practical applications.
• Contribute to model training, fine‑tuning, validation, debugging, and performance optimization for perception and sensor‑fusion tasks.
• Help define and implement robust metrics for detection, reconstruction, localization support, semantic labeling, and model robustness under varied environmental conditions.
• Work with real and synthetic data to evaluate sensing tradeoffs across weather, lighting, occlusion, sensor noise, clutter, and near‑field versus long‑range scenarios.
• Contribute to production pipelines and technical workflows spanning data loading, model evaluation, error analysis, and deployment‑oriented support.
• Collaborate with cross‑functional teams to integrate models and algorithms into onboard driving systems and future sensing evaluation workflows.
• Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.

Your Skills & Abilities

• Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
• Experience applying machine learning techniques to real‑world systems or large‑scale datasets.
• Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains.
• Proficiency in PyTorch and Python.
• Experience with model training pipelines or large‑scale data processing workflows.
• Strong data processing skills using NumPy, Pandas, and Apache Spark.
• Experience with model validation, debugging, and failure analysis in ML or perception settings.
• Experience with one or more perception domains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion.
• Ability to collaborate effectively within cross‑functional engineering teams.

Preferred Qualifications

• Experience with perception sensors including cameras, radar, and lidar.
• Experience with multi‑modal sensor fusion and system integration.
• Experience with production ML pipelines, model optimization, and performance tuning.
• Experience with simulation, synthetic data, or scenario‑based evaluation.
• Experience with architecting sensory systems or contributing to sensor placement and configuration studies.
• Experience deploying ML models into production or working within production ML environments.
• Experience in automotive, robotics, or safety‑critical ML applications.

Remote / Hybrid

This role is categorized as fully remote or hybrid.

Compensation

The salary range for this role is $182,400.00 to $250,600.00. 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.

Benefits

GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.

Relocation

This job may be eligible for relocation benefits.

Equal Employment Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.