Job Description

Locations

• United States, WA, Seattle, Seattle, WA, United States

Salary

Skills Required

• - 3+ years of building models for business application experienceintermediate
• - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
• - Experience in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
• - Experience programming in Java, C++, Python or related languageintermediate
• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate

Required Qualifications

• - 3+ years of building models for business application experience (experience, 3 years)
• - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
• - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
• - Experience programming in Java, C++, Python or related language (experience)
• - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)

Preferred Qualifications

• - Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members (experience)
• - Some experience with LLM (experience)
• 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 a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)

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.
• Diverse Experiences
• AWS values diverse experiences. Even if you do not meet all of the 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.
• 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 our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) 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. 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.
• Work/Life Balance
• We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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