2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science invites graduate student scientists to join our internship program focused on machine learning, reinforcement learning, and optimization. You will collaborate with world-class researchers to develop scalable algorithms, validate models, and deploy solutions on production-scale data.

The role emphasizes cross-functional teamwork, exposure to state-of-the-art research, and the opportunity to publish and contribute to cutting-edge AI applications across diverse domains.

Qualifications

• PhD candidates currently enrolled and eligible to participate in an internship.
• Willingness to relocate to internship locations in the US.
• Proficient programming in Java, C++, or Python; familiarity with ML workflows.

Responsibilities

• Develop scalable ML models and algorithms for production-scale data.
• Collaborate with cross-functional teams including product managers and engineers.
• Research and apply latest ML techniques from academia and industry.
• Think about customers and improve the delivery experience.

Skills

Optimization

Reinforcement Learning

Time Series

Large Language Models

Graph Modeling

Deep Learning

Supervised/Unsupervised Learning

Predictive Modeling

Causal Inference

Programming/Scripting Languages

Statistics

Java

C++

Python

Education

Enrolled in a PhD

Tools

Java

C++

Python

Job description

Description

Unlock the Future with Amazon Science!

Calling all visionary minds passionate about the transformative power of machine learning! Amazon is seeking boundary-pushing graduate student scientists who can turn revolutionary theory into awe-inspiring reality. Join our team of visionary scientists and embark on a journey to revolutionize the field by harnessing the power of cutting-edge techniques in bayesian optimization, time series, multi-armed bandits and more.

At Amazon, we don't just talk about innovation - we live and breathe it. You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. You will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised, semi-supervised and unsupervised learning, reinforcement learning, advanced statistical modeling, and graph models.

Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.

Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.

Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.

Key job responsibilities

We are particularly interested in candidates with expertise in: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling

In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on developing novel RL algorithms and applying them to complex, real-world challenges.

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.

A day in the life

• 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.

Basic Qualifications

• Are enrolled in a PhD
• Can relocate to where the internship is based
• Experience programming in Java, C++, Python or related language
• Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
• Experience with one or more of the following: Optimization, Programming/Scripting Languages, Statistics, Reinforcement Learning, Causal Inference, Large Language Models, Time Series, Graph Modeling, Supervised/Unsupervised Learning, Deep Learning, Predictive Modeling
• Must be available for full-time (40 hours per week) internship for the whole duration of the internship

Preferred Qualifications

• Have publications at top-tier peer-reviewed conferences or journals
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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. Final starting pay will be based on factors including experience, qualifications, and location. 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.

USA, OR, Corvallis - 142,800.00 - 193,200.00 USD annually

USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Company

- Amazon.com Services LLC

Job ID: A10394278