Applied Scientist, Applied AI Solutions

Amazon Inc.; Seattle (WA); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon Development Center U.S., Inc. seeks a Senior Applied Scientist with expertise in large language models and agentic systems. You will build state-of-the-art multi-agent solutions and accelerate customer-facing GenAI features while advancing foundational models.

Join a fast-moving team that values curiosity, rigorous experimentation, and collaboration across engineering and product. You will publish results and mentor others as you push the boundaries of AI at scale.

Qualifications

• 3+ years of building models for business applications
• PhD, or Master's with 4+ years in CS/CE/ML
• Publications or patents at top-tier venues
• Programming experience in Java, C++, Python

Responsibilities

• Drive end-to-end GenAI projects from concept to production
• Build, optimize, and deploy ML models with productionization
• Research novel ML approaches and identify GenAI opportunities
• Analyze large datasets to produce actionable insights
• Establish scalable data analysis and model validation processes
• Present results to senior leadership and cross-functional teams

Skills

3+ years experience

Java

C++

Python

Algorithms & data structures

Numerical optimization

Data mining

Parallel & distributed computing

High-performance computing

Patents/publications

Education

PhD

Masters+4y CS/CE/ML

Tools

Unix/Linux

Job description

Job ID: 10475578 | Amazon Development Center U.S., Inc.

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

We're building applied AI solutions that businesses love and trust. 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. We're a fast-moving scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle you'll fit right in.

The Role

We're seeking a talented Senior Applied Scientist with expertise in large language models agentic systems and foundational models. You will be responsible for building the state-of-the-art multi-agent system using a handful of methods including fine-tuning reinforcement learning etc. You'll accelerate our customer-facing features contribute to our collaborative and innovative culture and bring state-of-the-art applied research that raises the bar for the entire team.

Key job responsibilities

• 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

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.

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.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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 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 Qualifications

• 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. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually