Jobs / Ama***
Sr Applied Scientist, Applied AI Solutions
Ama*** · Seattle, WA, United States
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Seattle, WA, United States167,100-226,100 USD/yearlyRemote
Remuneration
167,100-226,100 USD/yearly
Location
Seattle, WA, United States
Visa sponsorship
Sponsors visa
Job summary
DESCRIPTION About us As part of the AWS Applied AI Solutions organization, our vision is 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.
Benefits
Learn more about ourAt https://amazon.jobs/en/USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Qualifications
- Our team combines Amazon's real-world experience with state-of-art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use.
- Our ambition is to become the partner companies rely on to run their business every day—putting AI to work to deliver better customer experiences, operational excellence, and faster innovation.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience using managed ML/AI solutions
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- PREFERRED
- Experience with modeling
- and location.
- Amazon also offers comprehensive
Responsibilities
- If bias for action is your favorite leadership principle, you'll fit right in.
- You will be responsible for building the state-of-art multi-agent system, using a handful of methods including fine-tunning, reinforcement learning, etc.
- You'll accelerate our customer-facing features, contribute to our collaborative and innovative culture, and bring state-of-art applied research that raises the bar for the entire team.
- Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production
- Build, optimize, and deploy ML models while collaborating with software engineers for productionization
- Research innovative machine learning approaches and identify new opportunities for GenAI applications
- Perform hands-on analysis and modeling of large datasets to develop actionable insights
- Establish scalable, automated processes for data analysis, model development, and validation
- Present results to senior leadership and collaborate with cross-functional teams
- About the team
- Diverse Experiences
- AWS values diverse experiences.
Skills
Leadership
Degrees
AssociateDegreeMasterPhD
Industry
AutomotiveEnergyInsurance
Company size
SmbStartup