Remote ML Platform Engineer II for Autonomous Driving

jobs.frontdoordefense.com - Jobboard; Ann Arbor (MI); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Health Savings Accounts

Generous paid parental leave

Flexible vacation policy

Total Wellness Program

Job summary

May Mobility is looking for a Machine Learning Engineer II. This role involves building scalable ML training pipelines for autonomous driving data, with a focus on improving May's Autonomous Driving stack efficiently. Candidates should have experience in robotics applications and a strong background in C++, Python, and PyTorch.

Based in Ann Arbor, Michigan, this position offers a salary range of $160,000 - $210,000 annually and comprehensive benefits including healthcare and flexible vacation policies.

Qualifications

• Minimum of 2 years building ML-oriented infrastructure or distributed systems in production.
• Experience with containerized ML training workloads, including GPU scheduling.
• Familiarity with ML orchestration and experiment tooling.

Responsibilities

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

Skills

C++

Python

PyTorch

Machine Learning

Linux

Education

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

Tools

Ray

Kubeflow

TensorFlow

Job description

May Mobility is looking for a Machine Learning Engineer II. This role involves building scalable ML training pipelines for autonomous driving data, with a focus on improving May's Autonomous Driving stack efficiently. Candidates should have experience in robotics applications and a strong background in C++, Python, and PyTorch.

Based in Ann Arbor, Michigan, this position offers a salary range of $160,000 - $210,000 annually and comprehensive benefits including healthcare and flexible vacation policies.