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Home›Jobs›Amazon›Senior Applied Scientist, Security Issue Management
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
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 ...

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Amazon

Senior Applied Scientist, Security Issue Management

Amazon • Seattle, Washington, USA

Posted 3w ago🏛️ On-SiteSeniorApplied scientist📍 Seattle
Apply Now →

Skills & Technologies

Machine learningAILlms

Overview

Amazon is hiring a Senior Applied Scientist to build AI solutions that enhance builder experience and productivity. You'll work with machine learning models and AI systems to optimize security workflows. This position requires expertise in AI and machine learning.

Job Description

Who you are

You have a strong background in applied science, particularly in machine learning and AI, with a focus on developing innovative solutions that address complex challenges. Your experience includes building high-performance AI systems and understanding the intricacies of the software development lifecycle. You are adept at identifying bottlenecks and pain points in engineering processes, and you have a proven track record of applying experiments to study developer behavior and measure impacts on productivity and code quality. You thrive in collaborative environments, working alongside diverse teams of scientists, engineers, and product managers to drive impactful projects. Your curiosity and responsiveness make you a valuable team member, and you are comfortable navigating the challenges of a startup-like atmosphere.

Desirable

Experience with security automation and tooling is a plus, as is familiarity with the latest advancements in AI and machine learning technologies. You are open to exploring new methodologies and approaches to enhance builder experiences and are eager to contribute to a culture of innovation and excellence.

What you'll do

As a Senior Applied Scientist on the Security Tooling team, you will focus on designing and building state-of-the-art machine learning models that enhance the builder experience. Your role involves identifying builder bottlenecks across the software development lifecycle and applying your expertise to automate security workflows. You will conduct experiments to study developer behavior and measure the downstream impacts of security tooling on engineering velocity and code quality. Collaborating with a talented team, you will contribute to the development of AI solutions that empower engineering teams to ship secure code faster while maintaining the highest security standards. You will also have the opportunity to mentor junior team members and share your knowledge of best practices in AI and machine learning.

What we offer

Amazon provides a competitive compensation package, including equity, sign-on payments, and a comprehensive range of medical and financial benefits. You will be part of a dynamic team that values curiosity and innovation, with opportunities for professional growth and development. The work you do will have a significant global impact, empowering builders and enhancing security excellence across the organization. Join us in shaping the future of AI solutions at Amazon, where your contributions will directly influence the success of engineering teams worldwide.

Interested in this role?

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