Applied Scientist, Personalize, AWS

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Science in Seattle is seeking researchers to build state-of-the-art recommendation and personalization models at scale, impacting how millions discover products and experiences. Join AWS AI initiatives to develop scalable systems and publish your findings in top venues.

You will collaborate with cross-functional teams, leverage vast data, and work on foundational models and LLMs in recommendation pipelines. This role emphasizes innovation, mentorship, and a strong publication record.

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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Develop and evaluate state-of-the-art recommendation and personalization models.
• Collaborate with researchers and engineers to deploy models at scale.
• Publish findings at peer-reviewed conferences and journals.

Skills

Java

C++

Python

Education

PhD, or Master’s degree with 4+ years CS/CE/ML

Tools

Unix/Linux

Job description

Description

Do you want to work on building state-of-the-art recommendation systems and personalization engines at scale to transform how millions of customers discover products, content, and experiences? Come join the world-class researchers and academics in the AWS AI endeavor, and develop the science that powers personalized experiences for countless businesses in cloud computing!

Do you want to work on building state-of-the-art recommendation systems and personalization engines at scale to transform how millions of customers discover products, content, and experiences? Come join the world-class researchers and academics in the AWS AI endeavor, and develop the science that powers personalized experiences for countless businesses in cloud computing!
AWS is the world-leading provider of cloud services, and Amazon Personalize brings the same machine learning technology used by Amazon.com to developers everywhere. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world personalization challenges, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and journals.

The scientific topics you are going to work on include, but are not limited to: large-scale recommendation and ranking models, sequential and session-based recommendation, cold-start and few-shot personalization, contextual and real-time recommendations, representation learning for users and items, and the integration of foundation models and LLMs into recommendation pipelines, etc.

About The Team

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.

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.

Mentorship and 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.

Diverse Experiences

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.

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.
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