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

Software Engineering Mid-Level

AmazonSeattle - On-Site

Posted 4 months ago🏛️ On-SiteMid-LevelSoftware Engineering📍 Seattle💰 $110,500 - $160,000 / yearly
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Skills & Technologies

Overview

Amazon is hiring a Software Engineer for the Monetization ML team to build robust ML infrastructure and APIs for personalized monetization experiences. You'll work with technologies like Python and AWS. This position requires experience in machine learning and API development.

Job Description

Who you are

You have a strong background in software engineering with a focus on machine learning — you've built robust ML infrastructure and understand the intricacies of integrating ML models into existing systems. Your experience with API development allows you to create seamless integrations that enhance user experiences across platforms.

You are proficient in Python and have hands-on experience with AWS — you know how to leverage cloud services to optimize performance and scalability. Your understanding of monetization strategies in live streaming or similar industries gives you a unique perspective on user engagement and revenue generation.

You thrive in collaborative environments — you enjoy working with cross-functional teams to solve complex problems and are eager to share your knowledge with others. Your ability to communicate technical concepts clearly makes you a valuable team member.

Desirable

Experience with real-time data processing and fraud detection systems would be a plus. Familiarity with Twitch or similar platforms can help you understand the unique challenges and opportunities in live streaming monetization.

What you'll do

As a Software Engineer on the Monetization ML team, you will build and maintain the ML infrastructure that powers personalized experiences for creators and viewers. You will architect and develop APIs that integrate ML models with existing monetization products, ensuring they operate seamlessly and efficiently.

You will collaborate closely with data scientists and product managers to understand user needs and translate them into technical requirements. Your role will involve optimizing revenue-generating systems and implementing solutions that detect and prevent fraud in real-time.

You will also be responsible for monitoring system performance and making improvements based on user feedback and data analysis. Your contributions will directly impact the user experience on Twitch, helping to create a more engaging and profitable platform for creators and viewers alike.

What we offer

At Amazon, you will be part of a dynamic team that values innovation and collaboration. We offer competitive salaries and benefits, including health insurance, retirement plans, and opportunities for professional development. You will have the chance to work on cutting-edge technology in a fast-paced environment that encourages creativity and growth.

Join us in our mission to empower live communities and make a difference in the world of streaming. We encourage you to apply even if your experience doesn't match every requirement — your passion and willingness to learn are what matter most.

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