2026 Fall Applied Science Internship - Information & Knowledge Management (Machine Learning) - United States, PhD Student Science Recruiting

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

Job summary

Amazon.com Services LLC is seeking a graduate student scientist for an Applied Science Internship focused on Information and Knowledge Management in Machine Learning. You will develop systems and frameworks powering ML capabilities and enable discovery and reuse of models and datasets.

You will apply NLP and information retrieval to vast unstructured data, building tools to accelerate the work of ML teams with state-of-the-art infrastructure and mentorship from industry leaders.

Qualifications

• Are enrolled in a PhD program.
• Experience with ML methods and knowledge management.
• Experience with NLP and graph-based data.

Responsibilities

• Develop scalable, automated pipelines for ML lifecycle tasks.
• Design and evaluate innovative ML models for business problems.
• Research latest ML techniques and apply best practices.
• Collaborate with cross-functional teams to deliver customer value.
• Contribute to knowledge management and information retrieval initiatives.

Skills

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

Programming/Scripting Languages

Education

Enrolled in a PhD program

Tools

MxNet

TensorFlow

Job description

Unleash Your Potential at the Forefront of AI Innovation

Unleash Your Potential at the Forefront of AI Innovation At Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities.

Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. 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.

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

• 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

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

• 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: 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
• 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 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

Amazon.com Services LLC

Job ID: A10394230