Amazon Search is at the forefront of revolutionizing product search and online shopping through advanced GenAI and Machine Learning (ML) innovations.
We are seeking an Applied Science Manager for Search Navigation AI team who is not only deeply knowledgeable in the theoretical foundations of ML AI and LLMs but also skilled in leading and mentoring teams through the practical challenges of innovation. This leadership role demands a hands-on pragmatic approach to navigating complex scientific and engineering problems with a focus on delivering results. The ideal candidate will demonstrate a proven track record in guiding teams to develop deploy and enhance next-generation of search navigation experience including advanced applications of Neural Networks (NN) Deep Learning (DL) Retrieval-Augmented Generation (RAG) LLMs and the rapidly evolving field of AI agents
In this role you will lead by example in conceptualizing building and launching ML and GenAI models that elevate our search capabilities and user experience. Youll be responsible for defining technical strategy overseeing project execution and mentoring team members in best practices across machine learning model development implementation and optimization. You will closely work with product teams and other partner teams to drive cross-organization projects and deliver results with significant business impact to customers.
Join the Search Navigation AI team a group of pioneering scientists and engineers dedicated to building core ML and GenAI models and developing the infrastructure for model innovation. As part of Amazon Search you will experience the dynamic innovative culture of a startup backed by the extensive resources of (AMZN) a global leader in internet services. Our collaborative customer-centric work environment spans across our offices in Palo Alto CA and Seattle WA offering a unique blend of opportunities for professional growth and innovation.
- Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- 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
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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager