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Machine Learning Engineer Amazon Jobs (NOW HIRING)

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 ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

Emonics LLC

Machine Learning Engineer

San Jose, CA · On-site

Machine Learning Engineer -- Fresher We are hiring a Machine Learning Engineer to develop and deploy machine learning models for business applications. You will work with data scientists and software ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a ... machine learning, data science, or related fields. * Strong programming skills in Python with ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Paylocity

Machine Learning Engineer

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

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All JobsMachine Learning Engineer Amazon Jobs

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, Alexa AI

Machine Learning Engineer, Alexa AI

Amazon

Boston, MA

Full-time

Posted 22 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 Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference.
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements

Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software.
About the team
Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services

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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