2027 Summer Applied Science Internship Information Knowledge Management

Amazon; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k) matching

Mental Health Support

Medical Advice Line

Employee Assistance Program

Job summary

Amazon seeks graduate student scientists for an Applied Science Intern in Information and Knowledge Management within Machine Learning. You will help build systems that empower ML teams to discover, reuse, and build upon models and datasets, accelerating innovation.

Focus on NLP and information retrieval to derive insights from unstructured data, using cutting-edge infrastructure and mentorship to grow technical and communication skills in a fast-paced environment.

Qualifications

• PhD enrollment with ability to relocate for internship.
• Experience with Java, C++, Python.
• Experience with Knowledge Graphs, NLP, ML, DL, or related areas.
• Available full-time for the whole internship.

Responsibilities

• Leverage AI-powered tools to accelerate research, experimentation, and prototyping.
• Critically review and validate outputs from AI tools and automated systems.
• Develop scalable, automated processes for large-scale data analyses, model development, validation and implementation.
• Design, develop and evaluate innovative ML models for complex business problems.
• Research and apply latest ML techniques and best practices from academia and industry.
• Consider customers to improve the customer delivery experience.
• Create scalable analytical solutions for business problems.

Skills

Java

Python

C++

NLP

ML

GNNs

Time Series

Algorithms

Data Structures

Education

PhD student

Tools

Knowledge Graphs

Extraction

Neural Networks

GNNs

Job description

Description

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

• Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping.
• Critically review and validate outputs from AI tools and automated systems.
• 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 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 - Demonstrated science depth in a specific research area, evidenced through publications, thesis work, or equivalent contributions

Preferred Qualifications

• Have publications at top-tier peer-reviewed conferences or journals - Experience building machine learning models or developing algorithms for business application 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 - 135,660.00 USD Annually