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2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting

Amazon

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2 open recommender roles across 1 companies are on ApplySarthi right now.

What recommender roles keep asking for: Deep learning (100%), Machine learning (100%), NLP (100%), Python (100%), Computer vision (50%), Java (50%), PyTorch (50%), Spark (50%) — counted across their open postings here.

Deep learning jobs · Java jobs · Machine learning jobs · NLP jobs

Amazon has 14,764 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for recommender roles keep coming back to Deep learning, Machine learning, NLP, Python. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How did you know your model was actually good, and not just good on your test set?
  4. Tell me about a time the data was messy or wrong. What did you do?
  5. How would you explain your model's result to someone who is not technical?

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Unleash Your Potential as an AI TrailblazerAt Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, Basic qualifications: - Are enrolled in a PhD - Can relocate to where the internship is based - Work 40 hours/week minimum and commit to 12 week internship minimum - Experience programming in Python, and where applicable, Java or Spark Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions Preferred: - Have publications at top-tier peer-reviewed conferences or journals - Experience building machine learning models or developing algorithms for business application - Experience implementing algorithms using modern ML and data toolkits (e.g. PyTorch, Spark, feature engineering frameworks, or recommendation libraries) - Experience with AI-assisted development tools to accelerate research, coding, or evaluation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . Seattle, WA, USA - 135,660.00 USD Annually

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Listed on amazon · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.