2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science Recruiting

Amazon; Seattle (WA); On-site; USD 129,000 - 157,000; Full time

Benefits offered by this job

Mental Health Support

401(k) matching

Job summary

Amazon seeks an Applied Science Intern in Seattle to work on automated reasoning techniques, SAT/SMT solvers, and program analysis. You will collaborate with top researchers and see your solutions deployed in production to improve cloud computing reliability.

Ideal candidates are PhD students who can relocate, commit to 40 hours/week for at least 12 weeks, and have experience with Python, Java, or C/C++. The role offers mentorship and cutting-edge resources.

Qualifications

• Enrolled in a PhD program.
• Willingness to relocate to the internship base.
• Experience programming in at least one of Python, Java, C or C++.

Responsibilities

• Contribute to automated reasoning research and development.
• Assist in deploying research solutions into production.

Skills

Python

Java

C

C++

Programming/Scripting Languages

Education

PhD student

Job description

Description

Shape the Future of Cloud Computing

Are you a graduate student passionate about Automated Reasoning and its real-world applications? Join our team of innovators and embark on a journey to revolutionize cloud computing through cutting‑edge automated reasoning techniques. Our tools are called billions of times daily, powering the backbone of Amazon's products and services. We are changing the way computer systems are developed and operated, raising the bar for security, durability, availability, and quality.

As an Applied Science Intern, you'll have the opportunity to work alongside our brilliant scientists and contribute to groundbreaking projects. From distributed proof search and SAT/SMT solvers to program analysis, synthesis, and verification, you'll tackle complex challenges at the intersection of theory and practice, driving innovation and delivering tangible value to our customers.

This internship is not just about executing tasks – you'll explore novel approaches to solving intricate automated reasoning problems. You'll dive deep into cutting‑edge research, leveraging your expertise to develop innovative solutions. You'll work on deploying your solutions into production, witnessing the real‑world impact of your contributions.

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.

Join us and be part of a team that is shaping the future of cloud computing through the power of Automated Reasoning.

Amazon has positions available for Automated Reasoning Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; New York, NY; Portland, OR; Santa Clara, CA; Seattle, WA

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.

Key job responsibilities

We are particularly interested in candidates with expertise in: Theorem Proving, Boolean Satisfiability Solvers, Bounded Model Checking, Deductive Verification, Programming/Scripting Languages, Abstract Interpretation, Automated Reasoning, Static/Program Analysis, Program Synthesis

Basic Qualifications

• Are enrolled in a PhD
• Can relocate to where the internship is based
• Experience programming or scripting language like Python, Java, C or C++
• Work 40 hours/week minimum and commit to 12 week internship minimum
• 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

Preferred Qualifications

• Have publications at top‑tier peer‑reviewed conferences or journals

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 - 142,800.00 USD Annually

Seattle, WA, USA - 142,800.00 USD Annually

Company - Amazon.com Services LLC