2026 Fall Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting

ID: 6576

Type: Full-time

Category: Others

Company Name: Amazon.com Services LLC

Location: USA, WA, Seattle - Seattle - United States

Salary: 142,800.00 - 193,200.00 USD annually

Education Level: Intern

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Job Description

Unleash Your Potential as an AI Trailblazer

At 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, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.

As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.

Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.

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.

Must be eligible and available for a full-time (40h / week) 12 week internship between May 2026 and September 2026

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: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems

In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.

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
- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community

Basic Qualifications

- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- 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
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow

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

Company Information

Company Name: Amazon.com Services LLC

Company Website: https://www.amazon.com

Company Address: 410 Terry Ave N, Seattle, WA 98109, United States

Amazon.com Services LLC is an operating company in the Amazon corporate family that supports and delivers a broad set of technology-enabled retail and marketplace services. As part of the larger Amazon organization, it participates in the operation and management of Amazon’s online retail marketplace, third‑party seller programs, fulfillment and logistics solutions, and related customer-facing services. The company’s activities are oriented around applying software, systems engineering and logistical infrastructure to enable large-scale e-commerce, digital distribution and platform services for consumers and businesses. Overview and scope Amazon.com Services LLC functions as one of the entities through which Amazon delivers commerce and seller-related services. In practice, that includes enabling Amazon’s marketplace for third‑party sellers, operating fulfillment programs (including Fulfillment by Amazon—FBA), and supporting the web and mobile retail experiences that customers use to discover, buy and receive products. The company leverages Amazon’s broader investments in distributed computing, data analytics, inventory systems and automated fulfillment to provide both consumer-facing retail and business-to-business seller services. Core business activities The core activities associated with Amazon.com Services LLC revolve around online retail operations and the technology and logistics that underpin them. Key activities include: operating the Amazon.com consumer marketplace and associated storefronts; managing programs that onboard, list and transact for third‑party sellers; providing fulfillment, warehousing and shipping services for inventory enrolled in Amazon’s logistics networks; powering payments and order processing systems; and supporting customer service operations related to retail transactions. These activities are tightly integrated with Amazon’s global logistics network, delivery services, and software platforms that enable inventory management, pricing, content management and search/recommendation systems. Main products and services While Amazon.com Services LLC is one of several operating companies in the Amazon group, the practical products and services associated with its operations include marketplace hosting for third‑party sellers (seller accounts, tools and dashboards), fulfillment and warehousing services (including FBA), order processing and returns management, customer service support for retail transactions, and technology platforms that expose APIs and seller tools for listing, pricing and inventory control. These services enable merchants to sell through Amazon’s digital storefronts and to use Amazon’s fulfillment infrastructure for storage, packing and shipping. Relationship to broader Amazon offerings The operational scope of Amazon.com Services LLC overlaps and integrates with other Amazon businesses and technology platforms. For example, Amazon Web Services (AWS) provides the cloud infrastructure and many platform services that power Amazon’s retail site and seller services, while Amazon’s consumer-facing subscription services such as Amazon Prime (which bundles fast shipping, streaming and other benefits) influence demand and fulfillment priorities. Additionally, Amazon’s devices (Kindle, Echo/Alexa, Fire TV) and digital content offerings (Prime Video, Amazon Music, Audible) form adjacent product lines that operate within the same corporate ecosystem, increasing cross‑channel customer engagement with the retail marketplace. Technology and innovation focus Amazon.com Services LLC operates in an environment driven by software, systems engineering and logistics innovation. Amazon’s public communications emphasize technology investments in automation, robotics, machine learning, search and recommendation algorithms, and large-scale distributed systems to improve selection, convenience and price. The company’s approach to improving customer experience and seller services is built on continuous iteration in software, data science and operational research, as well as deployment of warehouse automation and transportation optimization technologies. Customers and users End customers are the millions of consumers who shop on Amazon’s retail websites and use related mobile apps. Another primary customer segment is the millions of third‑party sellers and professional merchants who use Amazon’s marketplace and seller services to reach consumers globally. Businesses and developers that integrate with Amazon’s seller APIs, fulfillment services, and advertising platforms also rely on the services and systems that Amazon.com Services LLC helps deliver. Official mission and corporate context Amazon’s public materials state a mission and guiding principle focused on customer centricity—commonly expressed by the company as striving “to be Earth’s most customer‑centric company.” That mission underpins the retail and marketplace operations and is reflected in investments in selection, convenience and low prices. Amazon operates across multiple industries including e-commerce, cloud computing, digital streaming, consumer electronics and logistics; Amazon.com Services LLC is a part of that broader corporate structure and concentrates on the commerce and seller-facing components of the business. Regulatory and corporate form Amazon.com Services LLC is a limited liability company within the Amazon corporate structure; like other operating subsidiaries, it is used to carry out specific aspects of Amazon’s commercial activities. Public filings and corporate disclosures identify multiple Amazon subsidiaries that collectively operate global retail, subscription, cloud and device businesses. Amazon’s public investor relations and corporate governance materials describe Amazon as a technology company with e-commerce and cloud computing core competencies, and Amazon.com Services LLC functions within that legal and operational framework. Summary In summary, Amazon.com Services LLC is a technology-enabled operating company in the Amazon family that provides and supports the marketplace, seller services, fulfillment and related retail operations that allow consumers to buy products and third‑party sellers to reach customers through Amazon’s digital storefronts. Its work is characterized by large-scale software systems, fulfillment and logistics networks, and continual investment in automation and data-driven tools to improve customer and seller experiences. The company’s activities align with Amazon’s stated customer-centric mission and the broader corporate focus on leveraging technology to scale commerce and distribution globally.

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