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Machine Learning Engineer Amazon Jobs (NOW HIRING)

Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... Amazon SageMaker * Experience implementing quality and control disciplines for Machine Learning ...

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Ability to build cloud native apps on Amazon Web Services * Good experience with agile development ...

... Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million ... About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team.

... Amazon. We're building a new type of firm, where live capital is the training ground for an ... We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ...

Senior Machine Learning Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

Senior Machine Learning Engineer Ascentt is building cutting-edge data analytics & AI/ML solutions ... Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years ... Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a ...

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Machine Learning Engineer Amazon information

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$31.5K

$128.8K

$193.5K

How much do machine learning engineer amazon jobs pay per year?

As of Jun 23, 2026, the average yearly pay for machine learning engineer amazon in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Amazon, and why are they important?

To thrive as a Machine Learning Engineer at Amazon, you need a strong background in computer science, mathematics, and statistics, often with an advanced degree and experience in machine learning algorithms. Proficiency with Python, TensorFlow or PyTorch, AWS cloud services, and familiarity with data modeling and big data tools is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help drive innovative solutions in cross-functional teams. These capabilities are crucial for developing scalable, impactful ML systems that align with Amazon’s business goals and customer needs.

What does a Machine Learning Engineer do at Amazon?

A Machine Learning Engineer at Amazon designs, builds, and deploys machine learning models to solve complex business problems across various domains such as retail, Alexa, AWS, and logistics. They collaborate with data scientists, software engineers, and product teams to implement scalable solutions that leverage large datasets. Responsibilities often include developing algorithms, optimizing model performance, and integrating models into production systems to enhance customer experiences or improve operational efficiency.

How do Machine Learning Engineers at Amazon typically collaborate with product and engineering teams to deploy models into production?

Machine Learning Engineers at Amazon work closely with product managers, data scientists, and software engineers throughout the model development lifecycle. After designing and training models, they partner with engineering teams to integrate these models into scalable production systems, ensuring performance and reliability. Regular cross-functional meetings and code reviews are common, as is the use of Amazon's internal tools and cloud infrastructure for deployment. This collaborative environment enables rapid iteration and continuous improvement of customer-facing products powered by machine learning.
What cities are hiring for Machine Learning Engineer Amazon jobs? Cities with the most Machine Learning Engineer Amazon job openings:
Infographic showing various Machine Learning Engineer Amazon job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer, Data & Machine Learning (DML)

Machine Learning Engineer, Data & Machine Learning (DML)

Amazon

Arlington, VA • On-site, Remote

Full-time

Posted 7 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

This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI. Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact

In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer.

You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.


The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption.

We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
Key job responsibilities
Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
About the team
Diverse Experiences
Amazon values diverse experiences.

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.


Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


What Amazon employees say

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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