Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Applied Scientist Lead

AmazonSunnyvale - On-Site

Posted 4 months ago🏛️ On-SiteLeadApplied Scientist📍 Sunnyvale💰 $165,500 - $165,500 / yearly
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Overview

Amazon is hiring an Applied Science Manager to lead innovations in web search and retrieval systems. You'll work on developing next-generation search capabilities and improving AI systems. This position requires experience in information retrieval and machine learning.

Job Description

Who you are

You have a strong background in applied science with a focus on information retrieval systems — your experience includes developing novel retrieval and ranking models that enhance search capabilities. You are skilled in leading teams and fostering scientific rigor, ensuring that your team delivers high-quality results that meet customer needs.

You possess a deep understanding of artificial intelligence and machine learning — you have successfully implemented machine learning models that improve content and query understanding, driving better performance in retrieval systems. Your ability to collaborate with engineering teams ensures that model performance is continuously optimized.

You are an effective communicator and coach — you enjoy mentoring your team, helping them grow in their careers while maintaining a high standard of scientific excellence. You are also adept at developing a science roadmap that includes publication opportunities and strategies for accelerating customer impact.

What you'll do

In this role, you will lead a team of scientists focused on enhancing Amazon's web search capabilities — your leadership will drive key improvements across multiple agentic systems. You will be responsible for developing innovative retrieval and ranking models that incorporate various objectives, such as relevance and trustworthiness.

You will work closely with engineering teams to improve model performance, ensuring that the systems you develop are efficient and effective. Your role will also involve enhancing content and query understanding models to provide better signals to retrieval and ranking systems.

Collaboration is key in this position — you will partner with content acquisition and customer teams to ensure that dependencies are met and that the solutions you develop deliver real value to end customers. You will also be tasked with creating a science roadmap that outlines your team's goals and publication opportunities.

As a leader, you will coach and develop your team, hiring top talent and maintaining high standards of scientific rigor throughout your group. Your work will directly influence the next generation of Amazon's search and AI systems, improving how millions of users interact with our platforms.

What we offer

At Amazon, we provide a comprehensive benefits package that includes competitive salaries, equity options, and a full range of medical and financial benefits. You will have the opportunity to work in a dynamic environment where innovation is encouraged, and your contributions will have a significant impact on the future of artificial intelligence and web search technologies. We value diversity and encourage you to apply even if your experience doesn't match every requirement.

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