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Amazon Sagemaker Jobs (NOW HIRING)

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 production-grade environment. * Collaborate closely with data engineers, data scientists, and product ...

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Design and implement end-to-end machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 * Perform data collection cleaning and feature engineering to ...

Datum Software, Inc.

Data Scientist

Charlotte, NC

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 Perform data collection cleaning and feature engineering to ...

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 production-grade environment. * Collaborate closely with data engineers, data scientists, and product ...

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How much do amazon sagemaker jobs pay per year?

As of Jun 5, 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 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.

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 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.
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Amazon Sagemaker jobs near you
Senior PMT ES - Reinforcement Learning, SageMaker AI

Senior PMT ES - Reinforcement Learning, SageMaker AI

Amazon

Bellevue, WA

$142K - $188K/yr

Full-time

Posted 12 hours ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,811 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

We're seeking a Senior Product Manager, Technical to define and own the product strategy for reinforcement learning (RL) on Amazon SageMaker AI. You'll shape how customers leverage reinforcement learning to align, customize, and improve foundation models and AI systems.
Reinforcement learning is at the heart of how the most capable AI systems are built today. From aligning foundation models to optimizing complex multi-step reasoning and decision-making systems, RL has moved from a research curiosity to a production-critical capability

Yet for most customers, RL remains difficult to adopt-requiring deep expertise, complex infrastructure, and significant experimentation. We need a product leader who can make reinforcement learning dramatically more accessible, helping a broad range of customers use RL to build better models and get to production faster.
Amazon SageMaker AI is the industry-leading service 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. If you want to build the products that define how the world develops and aligns AI, this is the role for you.
Key job responsibilities
* Define and execute product strategy and roadmap for reinforcement learning on SageMaker AI, working backwards from customer needs in model alignment, optimization, and decision-making
* Partner with applied science and engineering teams to define technical requirements for training infrastructure, algorithms, and tooling
* Own business metrics including adoption, usage, and revenue growth
* Engage directly with customers-from ML researchers at startups to enterprise AI teams-to understand their workflows and pain points
* Create product narratives, product specifications, and business cases for new initiatives
* Analyze the competitive landscape and stay current on research to anticipate where the field is heading
* Represent SageMaker capabilities 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

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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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