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Internship Aws Sagemaker Jobs (NOW HIRING)

Senior SDE, AWS SageMaker Data Preparation

Bellevue, WA · On-site

$138K - $182K/yr

... SageMaker AI? Are you interested to play a key role in developing software applications at AWS? We ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Must have prior experience, internship, project background, or advance level coursework in each of ... Version Control and Cloud Platforms, including Git, AWS SageMaker, and S3. * Creating data ...

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The role offers high visibility with AWS leadership and the chance to shape products that will ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The role offers high visibility with AWS leadership and the chance to shape products that will ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

Sr. Software Dev Engineer, SageMaker AI

Seattle, WA · On-site

$139K - $183K/yr

The role offers high visibility with AWS leadership and the chance to shape products that will ... BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ...

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Internship Aws Sagemaker information

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How much do internship aws sagemaker jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for internship aws sagemaker in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in AWS SageMaker?

An Internship in AWS SageMaker typically involves working with Amazon's cloud-based machine learning platform, SageMaker, to develop, train, and deploy machine learning models. Interns may assist with data preparation, model selection, and deployment tasks, as well as collaborate with data scientists and engineers on real-world projects. The internship offers hands-on experience with cutting-edge ML tools, exposure to cloud computing, and opportunities to learn industry best practices. It's ideal for students or recent graduates interested in machine learning and cloud technologies.

What types of projects can an intern working with AWS SageMaker typically expect to work on?

As an intern focused on AWS SageMaker, you can expect to work on projects involving building, training, and deploying machine learning models using the SageMaker platform. Typical tasks include data preprocessing, experimenting with different algorithms, optimizing model performance, and integrating SageMaker with other AWS services. You'll often collaborate with data scientists, engineers, and product managers, gaining hands-on experience in real-world ML workflows. These projects provide valuable exposure to both the technical aspects of machine learning and the best practices for working in cloud-based environments.

What are the key skills and qualifications needed to thrive as an AWS SageMaker intern?

To thrive as an AWS SageMaker Intern, you need a solid understanding of machine learning concepts, Python programming, and data analysis, typically supported by coursework or academic projects. Familiarity with AWS cloud services, SageMaker, Jupyter Notebooks, and relevant certifications such as AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty is highly beneficial. Strong problem-solving abilities, eagerness to learn, and clear communication skills help interns stand out in collaborative environments. These skills and qualities are essential for successfully developing and deploying machine learning models while adapting to real-world cloud-based workflows.

What is the difference between Internship Aws Sagemaker vs Data Scientist Intern?

AspectInternship Aws SagemakerData Scientist Intern
Required SkillsBasic knowledge of AWS, machine learning, PythonStatistics, data analysis, Python/R, machine learning
Work EnvironmentCloud platform, AWS services, collaborative teamsData analysis, modeling, research teams
Industry UsageTech, cloud services, AI developmentTech, finance, healthcare, research

Internship Aws Sagemaker focuses on hands-on experience with AWS cloud services and deploying machine learning models, while Data Scientist Interns work on analyzing data, building models, and deriving insights. Both roles require programming skills and familiarity with machine learning, but Internship Aws Sagemaker emphasizes cloud deployment and AWS tools, whereas Data Scientist Internships focus more on data analysis and statistical modeling.

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Infographic showing various Internship Aws Sagemaker job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Software Development Engineer II, AWS SageMaker

Bellevue, WA • On-site


Amazon
IT Services • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 7,130 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Good employer

Recommended by students

Paid breaks


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Are you a highly skilled and innovative SDE with a passion for developing new machine learning capabilities and driving innovation to build customer-centric solutions in Amazon SageMaker AI? Are you interested to play a key role in developing software applications at AWS? We invite you to join us and be part of making history.
The Amazon SageMaker Governance team is seeking Software Development Engineer to join our organization. SageMaker Governance provides the foundational platform capabilities that give enterprise customers trust, visibility, and control over their ML assets at scale. These capabilities enable customers to discover, audit, and manage machine learning models and workflows across accounts and organizations through a unified catalog, version-controlled lifecycle management, and end-to-end lineage tracking.
Engineers on the Amazon SageMaker Governance team are expected to consistently experiment with new technologies and ideas in order to drive innovation and ensure SageMaker remains a best-in-class service. You will be held to the highest standards of engineering and operational excellence, including building highly resilient and scalable systems, producing clear and effective technical documentation, actively contributing to discussions on strategic direction, and continuously raising the bar. Most importantly, you will have the opportunity to collaborate with a team of highly skilled and dedicated engineers who share a commitment to achieving new levels of success.
About Amazon SageMaker AI
Amazon SageMaker AI is a fully managed machine learning service that simplifies the process of building, training, and deploying machine learning models. It abstracts away the undifferentiated heavy-lifting associated with large-scale machine learning implementations, allowing developers and data scientists to focus on the core modeling and problem-solving aspects of their work. SageMaker is currently utilized by businesses of all sizes, including some of the world's leading enterprises, across a growing number of geographic regions.
About the team
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.
Mentorship & 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.
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.
Key job responsibilities
**System Design & Delivery** - Own end-to-end delivery of large-scale distributed services with high availability, low latency, and operational excellence.
**Cross-Team Influence** - Collaborate with product, science, and partner engineering teams to define roadmaps and deliver customer-obsessed solutions.
**Operational Excellence** - Champion best practices in CI/CD, observability, testing, and incident management. Drive a culture of ownership and accountability.
**Innovation** - Identify opportunities to simplify, automate, and improve the developer experience. Contribute to patents, publications, or open-source projects where appropriate.
**Customer Obsession** - Deeply understand customer workflows and pain points; translate insights into scalable, intuitive platform capabilities.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 143,700.00 - 194,400.00 USD annually

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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