2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting
Recommender Systems Research
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.
- Posted in the last 24 hours.
The gist
This internship involves developing and testing recommendation systems and search algorithms for Amazon's products. Ideal for PhD students with expertise in machine learning, natural language processing, and large-scale data processing. The role offers hands-on research and collaboration with top scientists.
What you would actually do
- Design, implement, and evaluate recommendation algorithms using large datasets
- Work with Java, C++, Python, and deep learning frameworks like TensorFlow
- Collaborate with cross-functional teams to deploy models impacting millions of users
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.