About the job
Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality for internships in 2026. Join our team of visionary scientists and embark on a journey to harnessing the power of cutting-edge techniques in deep learning and revolutionize the fields of artificial intelligence, data science, speech recognition, text understanding, robotics and more.
Responsibilities
Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Design, development and evaluation of highly innovative ML models for solving complex business problems.
Research and apply the latest ML techniques and best practices from both academia and industry.
Think about customers and how to improve the customer delivery experience.
Use and analytical techniques to create scalable solutions for business problems.
Qualifications
Minimum
Are enrolled in a PhD
Experience with programming languages such as Python, Java, C++
Work 40 hours/week minimum and commit to 12 week internship minimum
Can relocate to where the internship is based
Preferred
We are particularly interested in candidates with expertise in: Machine Learning, Deep Learning, Robotics, LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Programming/Scripting Languages, Reinforcement Learning, Causal Inference and more. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.