Applied Science Manager, Amazon Search

Senior • On-site

$165,500 - $286,000/yr

Palo Alto, CA

DESCRIPTION

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. You'll 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 Amazon.com (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.

BASIC QUALIFICATIONS

- Master's 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

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

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.

Amazon

Amazon.com, Inc. founded in 1994 by Jeff Bezos in the cozy confines of his Seattle garage, Amazon.com, Inc. quickly evolved from a humble online bookstore to a colossal e-commerce powerhouse. Today, it offers an extensive range of products from DVDs and electronics to furniture and groceries. With a global footprint that spans continents—from Canada and the UK to Japan and Brazil—Amazon's presence is truly international. The company has not only diversified into various domains, including acquiring Twitch in 2014 and venturing into the film industry in 2015, but also introduced initiatives like the brand registry program to safeguard intellectual property. Despite the hurdles of labor relations and competitive practices, Amazon remains a dominant force in the global e-commerce landscape.