2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - United States, PhD Student Science Recruiting
Machine Learning Systems Development
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 — $142,800 – $193,200 / year. Most postings never say.
- Only 9 people had applied when this was listed.
- Posted in the last 24 hours.
The gist
This internship involves building scalable machine learning systems for knowledge management, working with frameworks like TensorFlow and MxNet. Ideal for PhD students with expertise in ML and NLP, focusing on real-world applications and cross-team collaboration.
What you would actually do
- Develop scalable automated processes for data analysis and model implementation
- Work with ML frameworks like TensorFlow and MxNet on knowledge management systems
- Collaborate with cross-functional teams to enhance customer delivery through AI
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.