Remote ML Infrastructure Engineer II - Autonomous Driving

May Mobility; Ann Arbor (MI); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Rich retirement benefits

Generous paid parental leave

Flexible vacation policy

Job summary

May Mobility in Ann Arbor, Michigan is seeking a Machine Learning Engineer II to enhance their autonomous driving training infrastructure. The ideal candidate will architect and operate scalable data and training pipelines across cloud environments, contributing to innovative ML-oriented projects.

Requirements include a degree in Robotics or Computer Science, proficiency in C++ and Python, and a minimum of 2 years of experience. The role comes with a comprehensive benefits package and a salary range of $160,000 - $210,000.

Qualifications

• A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
• Familiarity with basic concepts in Machine Learning.

Responsibilities

• Architect and operate data and training pipelines across cloud and cluster environments.
• Build and maintain distributed training and orchestration tooling.
• Design and maintain data and metadata stores for training workflows.

Skills

C++

Python

PyTorch

Go

Rust

Machine Learning concepts

Data pipeline technologies

Distributed training frameworks

Education

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

Tools

Ray

Kubeflow

Airflow

MLflow

Weights & Biases

Spark

Parquet

Job description

May Mobility in Ann Arbor, Michigan is seeking a Machine Learning Engineer II to enhance their autonomous driving training infrastructure. The ideal candidate will architect and operate scalable data and training pipelines across cloud environments, contributing to innovative ML-oriented projects.

Requirements include a degree in Robotics or Computer Science, proficiency in C++ and Python, and a minimum of 2 years of experience. The role comes with a comprehensive benefits package and a salary range of $160,000 - $210,000.