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 Mid-Level

AmazonSeattle - On-Site

Posted 3w ago🏛️ On-SiteMid-LevelApplied Scientist📍 Seattle💰 $142,800 - $193,200 / yearly
Apply Now →

Overview

Amazon is hiring an Applied Scientist to innovate with machine learning and statistical techniques to prevent eCommerce fraud. You'll analyze terabytes of data and create algorithms that enhance customer experience. This role requires expertise in machine learning and data analysis.

Job Description

Who you are

You have a strong background in machine learning and statistical techniques, with experience in analyzing large datasets to derive actionable insights. Your passion for innovation drives you to explore the latest advancements in technology, particularly in the realm of Generative AI and large language models. You thrive in collaborative environments, working closely with diverse teams to tackle complex business problems and enhance customer experiences.

You possess a solid understanding of end-to-end machine learning solutions, from design to deployment, and are eager to take ownership of business metrics that directly impact profitability. Your analytical mindset allows you to model data effectively, ensuring that the solutions you develop are both scalable and efficient.

What you'll do

In this role, you will join the Amazon Selling Partner Trust & Store Integrity Science Team, where you will innovate with cutting-edge GenAI, LLM, and VLM technologies to build automated solutions for risk evaluation. You will design, develop, and deploy machine learning systems that manage the safety of millions of transactions daily, ensuring a seamless customer experience. Your work will involve collaborating with business partners and engineering teams to create scalable solutions that address real-world challenges.

You will be responsible for analyzing and modeling terabytes of data, creating state-of-the-art algorithms that enhance operational efficiency. Your contributions will directly influence the profitability of the company, as you will own key business problems and metrics. You will also have the opportunity to learn and experiment with the latest advancements in machine learning, continuously improving the systems you help build.

What we offer

Amazon provides a comprehensive benefits package, including medical, dental, and vision insurance, as well as a 401(k) matching program. You will enjoy paid time off and parental leave, along with access to mental health support and flexible spending accounts. The salary for this position ranges from $142,800 to $193,200 annually, reflecting the value we place on your expertise and contributions to our team.

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