2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting
Machine Learning 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 researching and applying advanced machine learning techniques to solve complex business problems. Ideal for PhD students with expertise in reinforcement learning and optimization, the role offers hands-on experience with cutting-edge algorithms and real-world data. The intern will contribute to impactful projects and work alongside leading scientists and engineers.
What you would actually do
- Develop scalable ML models for real-world challenges
- Work with reinforcement learning and optimization
- Collaborate with global experts on production-scale data
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.