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Internship Aws Sagemaker Jobs (NOW HIRING)

You will operate in an AI-native environment leveraging platforms such as AWS SageMaker and Bedrock ... Experience building and evaluating ML models through coursework, research, internships, projects ...

$54 - $71.25/hr

... AWS Well-Architected principles * Implement GenAI solutions using Amazon Bedrock, SageMaker, and ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...

Amazon Connect Architect

Canada, KY · Remote

$54 - $71.25/hr

... AWS Well-Architected principles * Implement GenAI solutions using Amazon Bedrock, SageMaker, and ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...

Amazon Connect Architect

$64.50 - $85/hr

... AWS Well-Architected principles * Implement GenAI solutions using Amazon Bedrock, SageMaker, and ... and internship opportunities. * Global Impact: collaborate on impactful projects for top global ...

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... AWS(e.g., S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API ...

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Internship Aws Sagemaker information

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How much do internship aws sagemaker jobs pay per hour?

As of Jul 19, 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 are the key skills and qualifications needed to thrive as an AWS SageMaker Intern, and why are they important?

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 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 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.

More about Internship Aws Sagemaker jobs
What cities are hiring for Internship Aws Sagemaker jobs? Cities with the most Internship Aws Sagemaker job openings:
What are the most commonly searched types of Aws Sagemaker jobs? The most popular types of Aws Sagemaker jobs are:
What states have the most Internship Aws Sagemaker jobs? States with the most job openings for Internship Aws Sagemaker jobs include:
Infographic showing various Internship Aws Sagemaker job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Software Dev Engineer III, AWS SageMaker Unified Studio

Software Dev Engineer III, AWS SageMaker Unified Studio

Amazon

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Company:
Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies.
The Group:
SageMaker Unified Studio is an AI-assisted unified development environment, designed to provide an integrated experience for customers using AWS Analytics and ML services without regard for service boundaries. It targets Data Engineers, Data Scientists, SQL Analysts and IT Administrators with persona driven experiences
Top reasons to join our team:
- Be a catalyst to deliver a truly disruptive product
- Solve unique and first-order problems in areas of Big Data, Spark, Distributed Systems, Serverless and Machine Learning
- Influence and build a product that will leverage scale of resources to orchestrate data workflow
- Be part of big data revolution in the cloud
- Grow the leader in you to build a revolutionary product
About you:
- Passionate in building large scale distributed systems
- Thrive in culture of ownership, delivery and bias for action
- Fast paced environment energizes you to be at your best
- Innovate and invent in an agile and collaborative environment
- Curious and eager to learn to expect more of you and others
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.
About the team
SageMaker Unified Studio (SMUS) is a growing team excited to create a development experience for our Data Engineering and Data Analyst customers. We have a wide range of talented engineers on the team, and many diverse tasks that we work on day to day. We move quick, are particularly collaborative, and know how to have a good time while doing it.
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
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.
Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ 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, VA, Arlington - 168,100.00 - 227,400.00 USD annually

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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