Applied Scientist II, Amazon AI at Work

Overview

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

We are looking for an Applied Scientist who is passionate about revolutionizing how product managers, program managers, and business analysts work with artificial intelligence. You will be part of the Amazon AI at Work (AIW) team building the next generation of AI agents that transform how business professionals operate and reshape the future of hybrid (AI + human) work.

As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end agentic AI solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.

You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with stakeholders, engineers, and scientist peers. You bring perspective and provide context for current technology choices and make recommendations on the right modeling and component design approach to achieve the desired business outcome and user experience.

Key job responsibilities

• Design and develop AI agents specifically tailored for business and product management workflows.
• Create novel frameworks for automating and enhancing workplace tasks.
• Lead cross-team projects to bring solutions from research to production.
• Drive innovation in business process automation and decision support systems.
• Communicate and document your research via publishing papers in external scientific venues.

About the team

As part of the AWS Applied AI 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.

Diversity of experiences is valued. Even if you do not meet all of the qualifications and skills listed, 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.

Inclusive Team Culture: 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 CORE and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge-sharing, mentorship and other career-advancing resources to help you develop into a better-rounded professional.

Work/Life Balance: We value work-life harmony and strive for flexibility as part of our working culture. When we feel supported, there’s nothing we can’t achieve in the cloud.

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

• Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
• Some experience with LLM

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, please visit the accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit the Amazon benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Important FAQs for current Government employees: Before proceeding, please review the following FAQs.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.