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.
Key job 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
About the team 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.
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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 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
Preferred Qualifications
- 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
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 - 167,100.00 - 226,100.00 USD annually