Senior ML Infra Engineer for Autonomous Driving AI

General Motors; United States; Hybrid; USD 153,200 - 234,100; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Retirement savings plan

Tuition assistance programs

GM vehicle discounts

Paid vacation and holidays

Job summary

A leading automotive company is seeking a Senior ML Infra Engineer to enhance its autonomous driving capabilities. You will design and deploy scalable platforms for machine learning workflows. The ideal candidate has over 3 years of experience in ML infrastructure, strong coding skills in Python or C++, and a solid understanding of machine learning practices. This role can be fully remote or hybrid, offering a competitive salary and comprehensive benefits.

Qualifications

• 3+ years of experience working on ML infrastructure.
• Strong understanding of machine learning and MLOps practices.
• Experience building reliable, high-performance systems.

Responsibilities

• Design, implement, and deploy scalable platforms for ML.
• Drive complex technical projects with strong ownership.
• Contribute to engineering culture and mentor junior engineers.

Skills

Experience with large-scale distributed systems

Strong coding skills in Python or C++

Experience with machine learning workflows

Collaboration skills

Experience in cloud infrastructure

Education

BS, MS, or PhD in Computer Science, Mathematics, or equivalent

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

A leading automotive company is seeking a Senior ML Infra Engineer to enhance its autonomous driving capabilities. You will design and deploy scalable platforms for machine learning workflows. The ideal candidate has over 3 years of experience in ML infrastructure, strong coding skills in Python or C++, and a solid understanding of machine learning practices. This role can be fully remote or hybrid, offering a competitive salary and comprehensive benefits.