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Amazon Machine Learning Jobs (NOW HIRING)

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA

$139K - $183K/yr

Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best ...

1872 Consulting

Machine Learning Engineer

Reston, VA · On-site

Experience designing, implementing, and transitioning to AI/Client cloud based frameworks such as Amazon SageMaker * Experience implementing quality and control disciplines for Machine Learning ...

Factspan Inc

Machine Learning Engineer

Seattle, WA

Experienced in using Amazon dockers to develop and deploy the solution * Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan ...

Factspan Inc

Machine Learning Engineer

Seattle, WA

Experienced in using Amazon dockers to develop and deploy the solution * Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

... Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million ... This person will implement and develop machine learning models to enhance our platform ...

Poesis

Machine Learning Engineer

San Francisco, CA

... Amazon. We're building a new type of firm, where live capital is the training ground for an ... About the Role At Poesis, machine learning and artificial intelligence open the door to improved ...

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Amazon Machine Learning information

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$25.5K

$42.6K

$88K

How much do amazon machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for amazon machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

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Amazon Machine Learning jobs near you
Machine Learning Engineer, CreativeX

Machine Learning Engineer, CreativeX

Amazon

Seattle, WA • On-site

Full-time

Posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,874 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.
Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers

We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.
Key job responsibilities
- Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain.
- Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems.
- Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
- Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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