As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the ...
Information Technology Intern (Graduate Student)
Washington, DC · On-site
$28/hr
As a Technology Intern , you will apply strategic, analytical, and creative thinking to solve ... Evaluating the performance of machine learning models using appropriate metrics (e.g., R², RMSE ...
Information Technology Intern (Graduate Student)
Washington, DC · On-site
$28/hr
As a Technology Intern , you will apply strategic, analytical, and creative thinking to solve ... Evaluating the performance of machine learning models using appropriate metrics (e.g., R², RMSE ...
Title AI / Machine Learning Specialist Full-Time/Part-Time Full-Time Description RiVidium is seeking an AI / Machine Learning Specialist to support our planned MODES III team supporting Military ...
Title AI / Machine Learning Specialist Full-Time/Part-Time Full-Time Description RiVidium is seeking an AI / Machine Learning Specialist to support our planned MODES III team supporting Military ...
AI/ML Research and Development Intern
Reston, VA · On-site +1
$15.50 - $20.75/hr
AND POSITION REQUIREMENTS We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied ...
AI/ML Research and Development Intern
Reston, VA · On-site +1
$15.50 - $20.75/hr
AND POSITION REQUIREMENTS We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied ...
AI/ML Research and Development Intern
Reston, VA · On-site
$15.50 - $20.75/hr
Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies. * Collaborate with cross-functional teams to ...
AI/ML Research and Development Intern
Reston, VA · On-site
$15.50 - $20.75/hr
Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies. * Collaborate with cross-functional teams to ...
The intern will work alongside technology and data professionals to support projects focused on ... Utilize AI tools (such as large language models, generative AI platforms, and machine learning ...
The intern will work alongside technology and data professionals to support projects focused on ... Utilize AI tools (such as large language models, generative AI platforms, and machine learning ...
The intern will work alongside technology and data professionals to support projects focused on ... Utilize AI tools (such as large language models, generative AI platforms, and machine learning ...
The intern will work alongside technology and data professionals to support projects focused on ... Utilize AI tools (such as large language models, generative AI platforms, and machine learning ...
Job Summary Navaide is seeking a motivated and curious Technology & Innovation Intern to support a ... Exposure to AI, machine learning, generative AI, workflow automation, or low-code/no-code platforms.
Job Summary Navaide is seeking a motivated and curious Technology & Innovation Intern to support a ... Exposure to AI, machine learning, generative AI, workflow automation, or low-code/no-code platforms.
Technology & Innovation Intern - Summer 2026
Arlington, VA · On-site
$25 - $30/hr
Job Summary Navaide is seeking a motivated and curious Technology & Innovation Intern to support a ... Exposure to AI, machine learning, generative AI, workflow automation, or low-code/no-code platforms.
Technology & Innovation Intern - Summer 2026
Arlington, VA · On-site
$25 - $30/hr
Job Summary Navaide is seeking a motivated and curious Technology & Innovation Intern to support a ... Exposure to AI, machine learning, generative AI, workflow automation, or low-code/no-code platforms.
Technology & Innovation Intern - Summer 2026
Arlington, VA · On-site
$25 - $30/hr
Job Summary Navaide is seeking a motivated and curious Technology & Innovation Intern to support a ... Exposure to AI, machine learning, generative AI, workflow automation, or low-code/no-code platforms.
Quick apply
Technology & Innovation Intern - Summer 2026
Arlington, VA · On-site
$25 - $30/hr
Job Summary Navaide is seeking a motivated and curious Technology & Innovation Intern to support a ... Exposure to AI, machine learning, generative AI, workflow automation, or low-code/no-code platforms.
Economic Development Intern (Fall 2026)
Silver Spring, MD · On-site
$15.50 - $20.75/hr
Other duties as identified by Employment Specialists Learning Objectives: * Intern will learn to create effective professional and job specific resumes and cover letters * Intern will learn how to ...
Economic Development Intern (Fall 2026)
Silver Spring, MD · On-site
$15.50 - $20.75/hr
Other duties as identified by Employment Specialists Learning Objectives: * Intern will learn to create effective professional and job specific resumes and cover letters * Intern will learn how to ...
AI Systems and Automation Intern
Arlington, VA · Hybrid
$20/hr
Our firm is seeking an AI Systems & Automation Intern to join our growing team. This person will be ... Previous coursework or projects related to machine learning or AI is a plus * Must be legally ...
AI Systems and Automation Intern
Arlington, VA · Hybrid
$20/hr
Our firm is seeking an AI Systems & Automation Intern to join our growing team. This person will be ... Previous coursework or projects related to machine learning or AI is a plus * Must be legally ...
Machine Learning Intern information
See Silver Spring, MD salary details
$26.4K - $32.2K
5% of jobs
$34.2K is the 25th percentile. Wages below this are outliers.
$32.2K - $38.1K
59% of jobs
$38.1K - $44K
9% of jobs
$44.4K is the 75th percentile. Wages above this are outliers.
$44K - $49.9K
17% of jobs
$49.9K - $55.7K
4% of jobs
$55.7K - $61.6K
2% of jobs
$61.6K - $67.5K
3% of jobs
$67.5K - $73.4K
0% of jobs
$73.4K - $79.2K
0% of jobs
$79.2K - $85.1K
0% of jobs
$85.1K - $91K
0% of jobs
$26.4K
$44K
$91K
How much do machine learning intern jobs pay per year?
What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?
What does a Machine Learning Intern do?
What is the difference between Machine Learning Intern vs Data Science Intern?
| Aspect | Machine Learning Intern | Data Science Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworks | Usually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills |
| Work Environment | Tech companies, research labs, startups focusing on AI/ML projects | Business, finance, healthcare, and tech sectors analyzing data for insights |
| Employer & Industry Usage | Used in companies developing AI products, research institutions, tech startups | Common in organizations requiring data analysis, reporting, and decision-making support |
While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.
What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?
What Does a Machine Learning Intern Do?
A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.
- What Are the Career Advancement Opportunities for Machine Learning Interns?
- What Are the Qualifications and Requirements to Get a Machine Learning Internship?
- What Is the Difference Between Machine Learning, Artificial Intelligence, and Deep Learning?
- What Is a Machine Learning Intern and How to Become One
Full-time
Posted 4 days ago
Amazon rating
7.4
Based on 6,968 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI. Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact.
In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.
As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges
Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives
Our team provides a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.
Key job responsibilities
Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility
About the team
Diverse Experiences
Amazon 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.
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.
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.
Mentorship and 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.
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