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Amazon Sagemaker Jobs (NOW HIRING)

Ampcus

MLOps Platform Engineer (SageMaker)

Plano, TX · On-site

The ideal candidate will have extensive experience in cloud infrastructure or ML platform operations, with a specific focus on AWS and Amazon SageMaker. The role involves designing, building, and ...

CTC USA, LLC

Platform Engineer (SageMaker)

Plano, TX · On-site

Must Haves: * 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations. * 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker ...

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Amazon Sagemaker information

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$23K

$77.1K

$122K

How much do amazon sagemaker jobs pay per year?

As of Jun 25, 2026, the average yearly pay for amazon sagemaker in the United States is $77,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $96,000.00 per year, depending on experience, location, and employer.

What is Amazon SageMaker?

Amazon SageMaker is a fully managed machine learning service provided by AWS that allows developers and data scientists to build, train, and deploy machine learning models quickly and at scale. It offers a range of tools for every stage of the ML workflow, including data labeling, model training, tuning, and deployment. SageMaker supports popular ML frameworks and integrates with other AWS services, making it easier to operationalize machine learning in the cloud. Its managed infrastructure helps reduce the time and complexity involved in developing ML solutions.

What are some common challenges faced by professionals working with Amazon SageMaker, and how can they be addressed?

Professionals working with Amazon SageMaker often encounter challenges such as managing large datasets, optimizing model training costs, and integrating SageMaker with other AWS services or existing data pipelines. Addressing these challenges typically involves leveraging SageMaker's built-in data preprocessing features, using managed spot training to reduce costs, and collaborating closely with data engineering and DevOps teams to ensure seamless integration. Regularly reviewing AWS documentation and best practices can also help professionals stay updated on new features and solutions.

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

To excel as an Amazon SageMaker Machine Learning Engineer, you need strong expertise in machine learning concepts, data preprocessing, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with AWS SageMaker, cloud infrastructure, version control systems like Git, and relevant certifications such as AWS Certified Machine Learning – Specialty are highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills are vital for building, deploying, and maintaining scalable machine learning solutions that drive business value.
More about Amazon Sagemaker jobs
What states have the most Amazon Sagemaker jobs? States with the most job openings for Amazon Sagemaker jobs include:
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Amazon Sagemaker jobs near you
Infographic showing various Amazon Sagemaker job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 5% As Needed, 88% Full Time, 1% Part Time, and 5% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $77,129 per year, or $37.1 per hour.
Sr. Product Manager - GenAI, SageMaker, SageMaker

Sr. Product Manager - GenAI, SageMaker, SageMaker

Amazon

Bellevue, WA • On-site

$142K - $188K/yr

Full-time

Posted 17 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,886 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

We're seeking a Senior Product Manager Technical (PMT-ES III) to own product strategy for Amazon SageMaker AI and drive the next evolution of how customers build, train, and deploy machine learning and GenAI models.
You'll define roadmap, prioritize features, and translate complex ML workflows into delightful experiences that help data scientists and ML engineers move faster from idea to production.
Amazon SageMaker AI is the industry-leading platform for machine learning, used by tens of thousands of customers-from startups to the world's largest enterprises-to build and deploy ML and GenAI applications at scale. With GenAI transforming every industry,
SageMaker is at the center of how customers customize foundation models, optimize inference, and operationalize AI. If you want to build products that shape how the world develops AI, this is the
role for you.
Key job responsibilities
Define and execute product strategy and roadmap for your product area, working backwards from customer
Drive feature prioritization and launch planning
Own P&L reporting and business metrics, tracking adoption, usage, and revenue growth
Partner with engineering teams to define technical requirements and specifications for new features
Work with AWS service teams to integrate SageMaker with broader AWS ecosystem
Support the go-to-market strategy and work with field teams to drive customer adoption
Analyze competitive landscape and market trends in secure communications
Create product narratives, PRFAQs, and business cases for new initiatives
Represent SageMaker in customer briefings, conferences, and industry events

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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