Applied Science Manager - Web Search/Retrieval/Ranking, AGI Info - Web Information Systems

DESCRIPTION

Help shape the future of artificial intelligence by leading breakthrough innovations in web search and Retrieval Augmented Generation at Amazon AGI. We're seeking an exceptional Applied Science Manager to drive the development of next-generation search capabilities to improve agentic applications across Amazon. Your work will directly influence the next generation of Amazon's search and AI systems, improving how millions of users interact with our platforms through more intelligent and efficient information retrieval systems.

What will you do?: You will lead a team of scientists to improve our web search capabilities and drive key improvements across multiple agentic systems across Amazon. You will be responsible for: (i) developing novel retrieval and ranking models to improve search, incorporating multiple objectives (e.g. relevance and trustworthiness), and partnering closely with engineering to improve model performance; (ii) improve content and query understanding models to deliver improved signal to retrieval and ranking models; (iii) partner closely with content acquisition and customer teams to ensure our dependencies are met and we’re delivering value to the end customers, enhancing information grounding for LLMs; (iv) develop a science roadmap, including publication opportunities and how we can accelerate delivery of customer impact; (v) coach and develop the team, hire, and hold the bar on scientific rigor throughout the team.

Technical Focus Areas: An ideal candidate will have demonstrated experience in Information Retrieval Systems (learned sparse and dense retrieval, efficient sparse and ANN indexing, learning-to-rank models, content understanding/information extraction, etc.) and Large Language Models (Retrieval-augmented generation (RAG) architectures, post-training techniques, inference optimization techniques, etc.).

BASIC QUALIFICATIONS

• 3+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience hiring and growing top talent

PREFERRED QUALIFICATIONS

• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
• Experience developing large scale search systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.