Applied Scientist, Applied AI Solutions

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.

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 models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• 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
• Experience using Unix/Linux
• Experience in professional software development
• 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.

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

Degrees

Industry

Company size