Senior E2E ML Engineer for Autonomous Driving

Torc Robotics; Ann Arbor (MI); Hybrid; USD 226,400 - 271,700; Full time

Benefits offered by this job

100% paid medical, dental, and vision premiums

401K with 6% employer match

Generous paid vacation

Job summary

Torc Robotics in Ann Arbor, MI is seeking a Senior Machine Learning Engineer to develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior, enabling safe, efficient, and human-like autonomy. Responsibilities include developing End-to-End ML models, training using large datasets, and collaborating with cross-functional teams. Successful candidates will have significant experience in ML, strong programming skills in Python and PyTorch, and a relevant degree. A hybrid work model is available.

Qualifications

• 6+ years of experience in Machine Learning, Robotics, or related field.
• Experience developing and deploying ML models.
• Strong programming skills with ability to write production-quality ML code.

Responsibilities

• Own development and delivery of End-to-End ML models.
• Train and evaluate models using large-scale datasets.
• Collaborate with various teams to ensure alignment across the autonomy stack.

Skills

Machine Learning

Python

PyTorch

Robotics

Data analysis

Education

Bachelor’s degree in Machine Learning or related field

Master’s degree or PhD in a related field

Tools

Distributed training frameworks (e.g., Ray)

Job description

Torc Robotics in Ann Arbor, MI is seeking a Senior Machine Learning Engineer to develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior, enabling safe, efficient, and human-like autonomy. Responsibilities include developing End-to-End ML models, training using large datasets, and collaborating with cross-functional teams. Successful candidates will have significant experience in ML, strong programming skills in Python and PyTorch, and a relevant degree. A hybrid work model is available.