Senior Machine Learning Engineer – Perception & Embodied AI

General Motors (GM)

Remote Hybrid

Quick summary

Work type
Remote
Location
Atlanta · Austin, TX · Detroit · Warren · Milford · Mountain View
Salary
$170,600–$261,300 / yr
Posted
80 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $216k
$160k most similar roles pay here $273k

This role pays less than 51% of similar roles. Most pay $183,608–$249,753 — the shaded band above. At the midpoint, this role pays about $216k versus about $217k 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 Machine Learning Engineer – Perception & Embodied AI

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As a Senior Machine Learning Engineer in the Perception team of the Embodied AI organization, you will be responsible for overseeing the entire lifecycle of safety-critical ML perception models, from research and data curation to real-time deployment on vehicle hardware. Your daily tasks include designing, training, validating, and deploying deep learning models for 3D object detection, tracking, and map detection, while also building a scalable production pipeline and optimizing model performance for low-latency requirements. You will work closely with cross-functional teams to integrate perception outputs and ensure robust system integration. The ideal candidate has extensive experience in Computer Vision and Deep Learning, proficiency in modern deep learning frameworks like PyTorch or TensorFlow, and expertise in deploying ML models on resource-constrained systems. Additional skills such as knowledge of Transformer-based models for 3D detection and scene understanding are highly valued. This role focuses on developing reliable perception capabilities for autonomous vehicles, addressing complex real-world challenges and ensuring safety-critical performance.

Skills

PyTorch TensorFlow Python Computer Vision Deep Learning Data Mining Multi-Modal Sensor Fusion Real-Time Systems Embedded Systems Model Optimization Metric Definition System Integration LiDAR Camera Radar Transformer Models CVPR ECCV ICCV NeurIPS

What you'll do

  • Design and deploy deep learning models for 3D object detection and tracking.
  • Build real-time map detection systems for drivable world elements like lanes and signs.
  • Optimize ML models for multi-modal sensor fusion to enhance vehicle perception accuracy.
  • Analyze and debug performance issues in adversarial scenarios, ensuring model reliability.
  • Define and implement robust metrics for evaluating model performance and improvements.
  • Integrate Perception outputs with Safety and Systems functions for comprehensive solutions.

What we're looking for

  • 5+ years of professional experience in Computer Vision and Deep Learning.
  • Expertise in modern deep learning frameworks like PyTorch or TensorFlow.
  • Proven ability to work with multi-modal sensor data (Camera, LiDAR, Radar).
  • Experience deploying ML models on resource-constrained, real-time systems.
  • Strong background in model optimization for performance improvement.
  • Demonstrated skill in large-scale data analysis and error logging.

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