Senior Applied Scientist, AWS Marketplace Discovery

Description

AWS Marketplace Applied Scientist to lead the development of AI-Powered Discovery systems. Translate complex scientific research into practical, high-impact solutions with a focus on personalization, search, and recommendations. Mentor others and foster a culture of innovation and collaboration. Influence how businesses worldwide discover and adopt software solutions.

• Lead the research, design, and development of advanced AI/ML systems for information retrieval and personalized recommendation systems
• Identify and evaluate emerging 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 (Product and Engineering) to translate scientific innovations into customer value
• Mentor scientists and influence scientific approach across the organization

The AWS Marketplace & Partner Services Science team develops and deploys AI/ML systems serving multiple stakeholders:

• AWS Customers:
  Discovery tools that streamline cloud adoption and innovation
• AWS Partners:
  Tools and insights to enhance collaboration and mutual growth
• Internal AWS Sellers:
  Data-driven recommendations to better serve customers and partners

Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while supporting the growth of our partner network.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continuously innovate to power customers from startups to Global 500 companies.

We value learning and curiosity. Our employee-led affinity groups foster inclusion and celebrate differences. Ongoing events and learning experiences support ongoing growth.

We strive for flexibility and work-life harmony, supporting you to succeed at work and at home.

We offer knowledge-sharing and career-advancing resources to help you develop professionally.

Amazon values diverse experiences. If you do not meet all preferred qualifications, we still encourage you to apply.

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

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

Amazon is an equal opportunity employer and does not discriminate on protected status. If you require a workplace accommodation during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range is listed below. Your Amazon package may include sign-on payments and RSUs. Final compensation will be determined based on experience, qualifications, and location. Amazon offers comprehensive benefits, including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .

Location:

USA, WA, Seattle

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