Principal Applied Scientist, AWS Marketplace & Partner Services

Description

The AWS Marketplace & Partner Services (AMPS) Science team is at the forefront of driving AWS's AI-powered growth through developing and evaluating the next generation search, recommendations, and agentic systems. As a Principal Applied Scientist on our team, you'll own the technical strategy and execution for our most ambitious AI-driven initiatives that directly accelerate AWS revenue growth through both customer discovery experiences and partner co-selling capabilities.

Your work will establish Marketplace as customers' primary solution discovery and transaction platform while simultaneously transforming how AWS partners scale their business through insights and agentic workflow automation.

You will be a trusted technical leader who tackles intrinsically complex scientific problems by leveraging deep expertise in information retrieval, recommendation systems, LLMs, and agentic systems. You'll innovate and set the standard for scientific excellence, making decisions that affect how products are built and integrated across AMPS. You'll align teams toward coherent strategies, guide peers in adopting the latest scientific trends, and force-multiply by decomposing hard problems and executing through collaboration.

Key job responsibilities

- Define direction for next-generation recommendation systems, including deep personalization, agentic architecture, and primitives  that integrate customer usage patterns, infrastructure requirements, and business objectives to deliver personalized, outcome-oriented guidance

- Lead information retrieval innovations, multi-objective ranking, and reasoning over heterogeneous solution types

- Architect, implement, and design agentic AI systems that orchestrate complex workflows

- Bridge theoretical innovations with practical solutions, making critical judgments to select the best technical approaches for both short and long-term objectives

- Mentor and guide applied scientists, holding the team to high standards of technical rigor and scientific excellence

- Contribute to the broader scientific community through patents, publications at conferences, and engagement with academic partners

About the team

The AWS Marketplace & Partner Services Science team is at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders:

- AWS Customers:
Through the AWS Marketplace, we support discovery experiences that streamline cloud adoption and innovation.

- AWS Partners:
Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth.

- Internal AWS Sellers:
We equip our sales teams with data-driven recommendations to better serve our customers and partners.

Basic Qualifications

- 5+ years of practical work applying ML to solve complex problems experience

- Experience working in predictive modeling and analysis

- Experience programming in Java, C++, Python or related language

- Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval

Preferred Qualifications

- 10+ years of relevant work in industry or academia experience

- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment

- Experience creating novel algorithms and advancing the state of the art

- Have peer-reviewed scientific contributions in premier journals and conferences

- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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