Machine Learning Engineer-Internship
Machine Learning Infrastructure
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $117,000 – $152,000. Most postings never say.
- Posted in the last 24 hours.
- The same role is open in 2 locations.
The gist
This role involves developing data pipelines and infrastructure for machine learning systems at scale. You'll work on training data generation, distributed training workflows, and improving pipeline reliability. Ideal for students with experience in ML frameworks and data processing.
What you would actually do
- Build data pipelines for training datasets and ML workflows
- Work with PyTorch, Ray, and orchestration tools like Airflow
- Contribute to scalable, reliable ML infrastructure
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.