Description Search Assistance features help reduce Amazon customers' effort in expressing and refining their shopping intent, as well as help Amazon customers discover new Amazon capabilities and shopping ideas. As an Applied Science Manager, you will lead a group of Scientists and Business Intelligence Engineer, and partner with Software Development Managers, Product Managers and Technical Program Manager, to work on Search Assistance customers facing features such as Search Autocomplete, Related Searches and Trending Searches. Key job responsibilities You independently manage a science team working to solve complex scientific problems that have a high business and customer impact. As a manager, you are accountable for the structure and strategic direction of your team, the artifacts they provide, and any technologies owned. You Partner with your stakeholders and leadership to define the science vision for your team. You will bridge the gap between science, tech, and business, and you will establish structures that enable your team to consistently deliver. You build a team that delivers successfully without you, and you are strategic about the team members' growth and provide those interested with opportunities to demonstrate higher level role scope, impact, complexity and leadership. You drive reasonable schedules and when needed, readjust priorities to ensure the right outcomes. You define audit mechanisms and metrics that enable you to quickly explain your team’s performance and any variance against goals. You will also lead your team to leverage the broader Amazon scientific community, and build a team culture that focuses on bringing research to production, removing road blockers, and delivering more results for Amazon customers. Basic Qualifications - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Strong communication skills, both verbal and written. 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 in bringing LLMs to applications. Experience in Search or Ads domains. 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.