Senior Machine Learning Engineer II

General Motors (GM)

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $290,000–$359,600 / yr
Posted: 4 days ago
Closes: Aug 5, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $325k

$160k most similar roles pay here $381k

This role pays more than 98% of similar roles. Most pay $195,000–$251,775 — the shaded band above. At the midpoint, this role pays about $325k versus about $223k 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 110 open roles on FindRole.

Listed pay typically runs $170,600–$261,300 across 62 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Senior Machine Learning Engineer II

Role Posting Log in to save

Join our cutting-edge AV team as a Senior Machine Learning Engineer, where you will contribute to the full machine learning cycle for autonomous vehicles, from data collection and labeling to model training and evaluation. Your daily tasks include designing innovative solutions for object detection and perception using advanced techniques like convolutional neural networks and Generative AI, integrating multiple sensor inputs, and optimizing models for real-time fleet operations. You’ll need a Master’s degree in relevant fields and three years of experience with radar perception, monocular 3D object detection, sensor fusion, and large-scale data analytics. Proficiency in Python, C++, ROS, and machine learning model optimization is essential, along with expertise in developing auto-labeling techniques and applying advanced mathematical concepts to refine models. This role addresses critical challenges in autonomous vehicle technology at a large scale, ensuring safe and efficient fleet operations.

Skills

Python C++ ROS Radar Perception Monocular 3D Object Detection Sensor Fusion Data Structures Machine Learning Model Optimization Auto-Labeling Techniques Convolutional Neural Networks Generative AI High Definition Maps Temporal Streams of Data

What you'll do

Design and develop novel machine learning models for autonomous vehicle operations.
Formulate problem statements and innovative solutions for autonomous systems.
Enhance object detection and perception using advanced AI techniques like CNNs.
Integrate multiple sensors to improve the accuracy of autonomous vehicle perception.
Debug real-time issues related to perception on ride-hail fleets remotely.
Optimize machine learning models for efficient performance in autonomous vehicles.

What we're looking for

Master’s degree in a relevant field and 3 years of experience as a Machine Learning or Computer Vision Engineer.
Expertise in radar perception using AI, monocular 3D object detection, and autonomous vehicle sensor fusion.
Proficiency in Python, C++, ROS programming, data structures, and machine learning model optimization.
Experience developing auto-labeling techniques and handling large-scale data generation and analytics.
Utilization of advanced mathematical concepts to develop and refine machine learning models.

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