Applied Scientist, AWS Applied AI Solutions
About the Role
The Applied Scientist will contribute to the development of Agentic AI solutions leveraging Gen AI. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.
Responsibilities
- Design and implement solutions that extend or adapt scientific approaches for customer needs
- Deliver components into production that meet high quality standards (efficient, reproducible, testable code)
- Produce science outputs demonstrating correctness, scholarship, and scientific rigor
- Work with product, engineering, and science teams to deliver impactful AI features
- Contribute to operational excellence in the team's deliverables
About the Team
AWS Solutions: As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
Pay
- USA, NY, New York: $172,400.00 - $223,400.00 USD annually
- USA, WA, Seattle: $142,800.00 - $193,200.00 USD annually
Benefits
- Sign-on payments and restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave