Amazon

About Amazon

The everything store and cloud computing leader

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

Machine Learning Engineer Senior

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Overview

Amazon is hiring a Senior Machine Learning Engineer for their Generative AI Innovation Center to develop and deploy advanced ML models and pipelines. You'll work with AWS and various data types to solve complex customer problems. This position requires proficiency in machine learning and experience with generative AI.

Job Description

Who you are

You have a strong background in machine learning and experience in developing and deploying advanced ML models and pipelines. With a solid understanding of generative AI, you are adept at solving complex technical problems and optimizing solutions for diverse customer needs. Your proficiency in Python and familiarity with AWS services enable you to create innovative solutions that enhance service performance and customer experience. You thrive in collaborative environments, working alongside scientists and engineers to drive impactful projects.

You possess excellent problem-solving skills and a passion for the intersection of software development and machine learning. Your experience includes designing and running experiments, researching new algorithms, and optimizing risk and profitability. You are comfortable working with large datasets, including terabytes of text and images, and have a keen interest in exploring new technologies and methodologies in the field of generative AI.

What you'll do

As a Senior Machine Learning Engineer at Amazon, you will be responsible for designing, implementing, testing, deploying, and maintaining innovative ML solutions that transform service performance, durability, cost, and security. You will collaborate with diverse teams to develop generative AI-based solutions that address real-world problems for AWS customers. Your role will involve solving complex technical challenges, often ones that have not been addressed before, at every layer of the stack. You will also have the opportunity to mentor junior engineers and contribute to the overall growth of the team.

You will engage with customers to understand their needs and translate them into actionable ML projects. By leveraging your expertise in machine learning frameworks such as TensorFlow and PyTorch, you will create models that deliver high-quality results. Your work will directly impact the success of the Generative AI Innovation Center, helping customers innovate and succeed in their endeavors.

What we offer

At Amazon, you will be part of a fast-paced organization that values innovation and collaboration. You will have the opportunity to work on game-changing projects and technologies that are deployed on devices and in the cloud. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in shaping the future of generative AI and making a difference for our customers.

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