Senior Applied Scientist, Data Processing Agents Science
Amazon Development Center U.S., Inc., Santa Clara, California
- Pay
- Not listed by the employer
- Work type
- Not stated
- Level
- Senior
- Area
- Research, ML / AI engineering
- Posted
- Jul 30, 2026
About the role
The Data Processing Agents science team is looking for a passionate, inventive Applied Scientist with a strong background in agentic AI/ML applied to systems problems in databases, programming languages, and distributed systems, to help create industry-leading agentic experiences for big data processing.
AWS provides a comprehensive set of services for all data analytics needs and enables organizations of all sizes and industries to reinvent their business with data. From storage and management, data governance, actions, and experiences, AWS offers purpose-built services that provide the best price-performance, scalability, and lowest cost.
Key job responsibilities
As part of the Data Processing Agents science team you will have the opportunity to apply your agentic AI/ML and systems skills to impact some of the largest analytics services in the industry and their customers. You will innovate by designing and building agentic solutions and ML-powered automation to simplify, optimize, and automate the big data processing workflows of AWS customers. You will collaborate with a talented team of applied science peers to drive scientific impact and with engineering, product, and business leaders to launch your work in production at Amazon scale.
A day in the life
A mix of the following activities: talking to product leaders and customers to define science features; researching the state of the art and creating science plans to build them; building and rigorously benchmarking the science implementations of such features; partnering with engineering teams to onboard science work and launch it in production; preparing, publishing, and presenting scientific work at top-tier science venues and evangelizing it within the company; upgrading your science knowledge by participating in reading groups and science presentations by internal or external scientists; mentoring applied science interns and science peers in all of the above functions.
About the team
We are a team dedicated to delivering transformative, science-driven agentic big data processing experiences for Amazon customers and having fun doing so. Our leadership team fosters an inclusive team culture and encourages work-life balance to bring out the best in each team member. Collaboration and mentorship are key tenets of our fabric. We are a growing team dedicated to supporting new members achieve their aspirations.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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