AI Specialist

University Of Michigan; Ann Arbor (MI); Hybrid; USD 120,000 - 180,000; Full time

Job summary

University of Michigan seeks a senior ML engineer to design and deploy large-scale machine learning systems for autonomous vehicles, robotics, AV simulation environments, or intelligent transportation systems.

The role requires training models for multimodal perception (camera, LiDAR, radar) or decision-making tasks, with production or distributed computing experience. Equal opportunity employer; background check and drug screen required upon offer acceptance.

Qualifications

• 4 years of experience in designing and deploying large-scale ML systems for autonomous vehicles, robotics, AV simulation environments, or ITS.
• Experience training ML models for multimodal perception (camera, LiDAR, radar) or decision-making tasks.
• Background check and drug screen required upon offer acceptance.

Skills

ML system design

Autonomous vehicles

Production deployment

Multimodal perception

Decision-making models

Job description

Required Qualifications*

4 years of experience in designing and deploying large-scale, advanced machine learning systems and complex software systems for autonomous vehicles (AV), robotics, AV simulation environments, or intelligent transportation systems, including deployment within production or distributed computing environments. This experience must include training machine learning models for multimodal perception (e.g., camera, LiDAR, radar) or decision-making tasks.

The University of Michigan is an equal opportunity employer. Background check and drug screen required upon offer acceptance.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.