AI Specialist
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At a glance
Job overview
The AI Specialist will design, develop, and maintain scalable software systems for intelligent transportation and autonomous vehicle research, architect and deploy advanced machine learning models, and integrate systems with simulation environments. The role involves hands‑on research engineering, publication contributions, and proposal development, with less than 10% work‑from‑home permitted.
Skills & qualifications
Skills
Qualifications
Full job description
AI Specialist
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Responsibilities*
Design, develop, and maintain scalable software systems supporting intelligent transportation and autonomous vehicle research. Architect, train, evaluate, and deploy advanced machine learning models, including multimodal perception and foundation model based systems, within distributed data, training, and inference pipelines. Perform hands-on research engineering at the intersection of artificial intelligence, robotics, and cyber-physical systems, including contributing to research publications and proposal development in support of engineering programs. Architect and implement production-grade software using modern programming languages such as Python, C/C++, Rust, or JavaScript. Integrate software systems with autonomous vehicle simulation environments and standards, including perception sensors, vehicle dynamics, geospatial reference systems, and V2X-related messaging, to support data collection, system validation, and experimental evaluation. Less than 10% work from home permitted.
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 thework modes (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) .
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.
Job Detail
Job Opening ID
281179
Working Title
AI Specialist
Job Title
Engineer in Research Lead
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
College Engineering
Department
CoE MCity
Posting Begin/End Date
8/18/2026 - 8/25/2026
Career Interest
Engineering & Architecture
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