Sr Manager, Applied Science, Search

Job :  |  Services LLC

Search's mission is to connect customers worldwide to Amazon's vast selection, helping them quickly evaluate their options and find what they need while also inspiring exploration and discovery. We are working on delivering a search results page that understands the full spectrum of customer intent, from open-ended discovery to spearfishing, and assembles itself accordingly with every part of the page reflecting the customer's specific context, query, intent, preferences and real-time browsing signals adapting as their mission evolves.

We are looking for a Senior Applied Science Manager to lead the development of leading AI/ML solutions that power intelligent, adaptive search experiences for hundreds of millions of customers worldwide. This is a rare opportunity to shape the science strategy for one of Amazon's most impactful programs at the intersection of massive-scale behavioral data, real-time decision systems, and generative AI.

You will lead cross-functional teams of scientists, engineers, and product managers to integrate LLMs into existing search systems while delivering low-latency solutions that serve billions of daily interactions.

A Sr. Manager, Applied Science in this role develops a comprehensive science strategy that brings deep expertise in page optimization and faceout optimization to drive adaptive search experiences, working with Principal Scientists to innovate on LLM integration and real-time personalization. You translate this strategy into measurable business impact by leading cross-functional teams through experimentation, ensuring every component of the search results page reflects customer intent and context while maintaining strict latency requirements.

• 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience building large-scale machine learning and AI solutions at Internet scale
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

• 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
• 5+ years of hands-on work in big data, machine learning and predictive modeling experience
• 5+ years of people management experience
• PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience in practical work applying ML to solve complex problems for large scale applications
• Experience working with big data, machine learning and predictive modeling
• Experience in people management
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
• Experience researching actual applications

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, CA, Irvine -  -  USD annually

USA, WA, Seattle -  -  USD annually

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies,…