Senior Applied Scientist, AWS Marketplace Discovery

Amazon • Seattle, WA

3d

About The Position

The AWS Marketplace team seeks a talented Applied Scientist to lead the
development of our next generation of AI-Powered Discovery systems. The ideal
candidate excels in translating complex scientific research into practical,
high-impact solutions, demonstrating both technical excellence and a deep
understanding of customer needs. They should bring proven depth in
personalization, search, and recommendations, while remaining committed to
mentoring others and fostering a culture of innovation and collaboration. The
position offers a unique opportunity to influence how businesses worldwide
discover and adopt software solutions.

The AWS Marketplace & Partner Services Science team is at the forefront of
developing and deploying AI/ML systems that serve multiple critical
stakeholders:
- AWS Customers: Through the AWS Marketplace, we support Discovery tools that
streamline cloud adoption and innovation.
- AWS Partners: Via Partner Central, we offer advanced tools and insights to
enhance collaboration and drive mutual growth.
- Internal AWS Sellers: We equip our sales force with data-driven
recommendations to better serve our customers and partners.
Our primary objective is to accelerate cloud migrations and modernizations,
fostering innovation for AWS customers while simultaneously supporting the
growth and success of our extensive partner network.

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.

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 conferences, inspire us
to never stop embracing our uniqueness.

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.

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.

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 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
[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.

Requirements

• 3+ years of building machine learning models or developing algorithms for business application experience
• Experience programming in Java, C++, Python or related language
• Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields

Nice To Haves

• PhD in Science, Technology, Engineering, or Mathematics (STEM), or Master's degree and 5+ years of working with or evaluating AI systems experience
• Experience conveying complex technical concepts to both technical and business audiences
• Experience providing and effectively communicating strategic and tactical recommendations based on data
• 6+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience

Responsibilities

• Lead the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems
• Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions
• Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems
• Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
• Mentor Scientists and influence scientific approach across the organization

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree