AI Specialist
University of Michigan · Ann Arbor, MI · 1 wk ago
Full-time
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.
Requirements
- 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.
- Experience must include training machine learning models for multimodal perception (e.g., camera, LiDAR, radar) or decision-making tasks.
Background check and drug screen required upon offer acceptance.