Autonomous Driving ML Infrastructure Engineer

Maymobility; United States; On-site; USD 160,000 - 210,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Rich retirement benefits

Flexible vacation policy

Total Wellness Program

Job summary

May Mobility in Ann Arbor is seeking ML-Oriented Software Engineers to join their Autonomous Driving ML team. Candidates will transition ML models from concept to commercial scale and work on data infrastructures that support autonomous vehicles. A Bachelor’s or Master’s degree in Robotics, Computer Science, or a related field is required, along with 2+ years of relevant experience. Benefits include comprehensive healthcare and generous paid parental leave.

Salary range is $160,000 - $210,000 USD. Join May Mobility to contribute to innovative transportation solutions!

Qualifications

• Minimum of 2 years building ML-oriented infrastructure in production.
• Proficiency in C++, Python, and PyTorch.
• Familiarity with basic Machine Learning concepts.

Responsibilities

• Transition Autonomous Driving ML models from concept to commercial scale.
• Architect and operate data, training and evaluation pipelines.
• Design and maintain data stores for training workflows.

Skills

C++

Python

PyTorch

Machine Learning concepts

Containerized ML Training workloads

CI/CD pipelines

Education

Bachelor’s or Master’s degree in Robotics, Computer Science or related field

Tools

Linux environments

Ray

Kubeflow

Airflow

MLflow

Weights & Biases

Job description

May Mobility in Ann Arbor is seeking ML-Oriented Software Engineers to join their Autonomous Driving ML team. Candidates will transition ML models from concept to commercial scale and work on data infrastructures that support autonomous vehicles. A Bachelor’s or Master’s degree in Robotics, Computer Science, or a related field is required, along with 2+ years of relevant experience. Benefits include comprehensive healthcare and generous paid parental leave.

Salary range is $160,000 - $210,000 USD. Join May Mobility to contribute to innovative transportation solutions!