Machine Learning Engineer II - Autonomous Driving Training Infrastructure

May Mobility · Remote

Posted: 5 days ago
Last confirmed live: 2 days ago

What this role involves

This role focuses on building and operating ML training infrastructure for autonomous driving. The engineer will own the process of transitioning ML models from concept to commercial scale, including architecting data, training, and evaluation pipelines. Required experience includes 2+ years in ML infrastructure and proficiency in C++, Python, and PyTorch.

Skills this posting asks for

c++
python
pytorch
linux
ci/cd
containerization
gpu scheduling
dataloader design
experiment tracking
data parallelism
model parallelism
relational databases
object stores
high-throughput data formats
go
rust
ray
kubeflow
perception
planning
autonomous driving

Requirements

2 years of experience
Level: mid

From the employer’s posting

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy D…

Read the full description on May Mobility’s careers page

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