2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting
Applied Science Research
Open nowConfirmed on Amazon’s own careers page · checked
What stands out
- Posted in the last 24 hours.
The gist
This PhD-level role involves developing recommendation and search algorithms for Amazon's products. You'll work with cutting-edge tools and contribute to real-world applications impacting millions of users. Ideal for those with strong research backgrounds and experience in machine learning and data processing.
What you would actually do
- Design, implement, and evaluate recommendation algorithms using large-scale datasets
- Work with Python, PyTorch, Spark, and recommendation libraries
- Collaborate with cross-functional teams to integrate solutions into production systems
Skills mentioned
About this listing
- Found on
- Amazon’s careers site
- First seen by InternDoor
- , within 8 hours of being posted
- Last seen listed
- Application page
- amazon.jobs
InternDoor has recorded 117 engineering postings from Amazon in the US since Aug 2026. We keep re-checking Amazon’s careers site, and take this listing down after the role disappears from it or its application link stops working. When it comes down, this address points to Amazon’s page instead of a dead end.
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.