Staff AI/ML Engineer, Future Sensing & Embodied Autonomy

General Motors; New York (NY); Hybrid; USD 189,300 - 320,700; Full time

Benefits offered by this job

Health Savings Account

Flexible Spending Accounts

Tuition assistance

GM vehicle discounts

Job summary

General Motors is seeking a Staff AI/ML Future Sensing Engineer to design and implement machine learning solutions for autonomous driving. This role involves leading technical studies across multi-modal sensor fusion and collaborating on model evaluation and deployment.

The ideal candidate will possess a degree in Computer Science or similar, and have significant experience in building AI/ML systems. This position is eligible for remote or hybrid work arrangements, with a competitive salary and comprehensive benefits.

Qualifications

• Strong experience building and scaling AI/ML systems for perception, autonomy, robotics or related real-world systems.
• Expertise in model validation, debugging, performance optimization and error analysis under real-world constraints.
• Hands-on experience with multi-modal sensor fusion and perception pipelines.

Responsibilities

• Design and implement AI/ML solutions for autonomous driving objectives.
• Lead technical studies across sensor selection and multi-modal sensor fusion.
• Mentor engineers through collaboration and code reviews.

Skills

Python

Deep learning frameworks

AI/ML systems

Data processing

Multi-modal sensor fusion

Model validation

Education

Bachelor’s, Master’s or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering or related field

Tools

PyTorch

NumPy

Pandas

Apache Spark

Job description

General Motors is seeking a Staff AI/ML Future Sensing Engineer to design and implement machine learning solutions for autonomous driving. This role involves leading technical studies across multi-modal sensor fusion and collaborating on model evaluation and deployment.

The ideal candidate will possess a degree in Computer Science or similar, and have significant experience in building AI/ML systems. This position is eligible for remote or hybrid work arrangements, with a competitive salary and comprehensive benefits.