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Amazon Machine Learning Jobs in Tennessee (NOW HIRING)

... machine learning models for moderately complex projects in business, science, or engineering. #0000 PREFERRED QUALIFICATIONS All applicants must meet all the above listed requirements. Amazon is an ...

... machine learning solutions using Python and industry-leading ML frameworks. * Experience leveraging AWS AI and ML services including Amazon SageMaker, Amazon Comprehend, Amazon Transcribe, or ...

... machine learning solutions using Python and industry-leading ML frameworks. * Experience leveraging AWS AI and ML services including Amazon SageMaker, Amazon Comprehend, Amazon Transcribe, or ...

... machine learning solutions using Python and industry-leading ML frameworks. * Experience leveraging AWS AI and ML services including Amazon SageMaker, Amazon Comprehend, Amazon Transcribe, or ...

Cyber - AWS Cloud Security - Manager

Nashville, TN · On-site

$107K - $144K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Cyber - AWS Cloud Security - Manager

Memphis, TN · On-site

$107K - $145K/yr

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

AWS Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Integrate Generative AI capabilities into data workflows using Amazon Bedrock, AgentCore, custom ... AWS Machine Learning Specialty * Experience with AI/ML model deployment using SageMaker or Bedrock ...

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Amazon Machine Learning information

See Tennessee salary details

$23.1K

$38.6K

$79.9K

How much do amazon machine learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for amazon machine learning in Tennessee is $38,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,800.00 per year, depending on experience, location, and employer.

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.

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?

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 are popular job titles related to Amazon Machine Learning jobs in Tennessee?

For Amazon Machine Learning jobs in Tennessee, the most frequently searched job titles are:

Infographic showing various Amazon Machine Learning job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,650 per year, or $18.6 per hour.

Applied Scientist II - AMZ27580.1

Nashville, TN • On-site


Amazon
IT Services • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 7,126 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Good employer

Recommended by students

Paid breaks


$136K - $184K/yr

Full-time

Re-posted 7 days ago


Job description

Employer: Amazon.com Services LLC
Position: Applied Scientist II - AMZ27580.1
Location: Nashville, TN
Multiple Positions Available:
Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.
(40 hours / week, 8:00am-5:00pm, Salary Range $136000 - $184000)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
#0000
BASIC QUALIFICATIONS
Master's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field and five years of research or work experience in a related occupation as equivalent to the Master's degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): programming in Java, C++, Python, or equivalent programming language; and conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.
#0000
PREFERRED QUALIFICATIONS
All applicants must meet all the above listed requirements.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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