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Machine Learning Summer Intern Jobs (NOW HIRING)

AV

Summer 2027 Machine Learning Intern

Saint Paul, MN · On-site

Worker Type Supplemental Summer Internship Program Our paid Summer Internship Program is designed ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Summer 2027 Machine Learning Intern

Centreville, VA · On-site

Worker Type Supplemental Summer Internship Program Our paid Summer Internship Program is designed ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Worker Type Supplemental Summer Internship Program Our paid Summer Internship Program is designed ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Worker Type Supplemental Summer Internship Program Our paid Summer Internship Program is designed ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

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Machine Learning Summer Intern information

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$25.5K

$42.6K

$88K

How much do machine learning summer intern jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning summer intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a machine learning summer intern?

Machine Learning Summer Interns are students or recent graduates who work temporarily at a company, usually during the summer, to gain practical experience in machine learning. They typically assist with data analysis, model development, and research tasks under the supervision of experienced data scientists or engineers. This role allows interns to apply their academic knowledge to real-world problems, learn industry tools and workflows, and build professional networks. Internships often serve as a stepping stone to full-time positions in machine learning or related fields.

What types of projects does a machine learning summer intern typically work on?

Machine Learning Summer Interns often work on focused projects such as data preprocessing, developing and testing machine learning models, or contributing to research and prototyping efforts. These projects are designed to provide practical experience while directly supporting the team's ongoing initiatives, such as improving model accuracy or automating data pipelines. Interns usually collaborate closely with data scientists and engineers, gaining mentorship and exposure to real-world problem-solving. This hands-on involvement helps interns understand the end-to-end process of deploying machine learning solutions and prepares them for future roles in the field.

What are the key skills and qualifications needed to thrive as a machine learning summer intern?

To thrive as a Machine Learning Summer Intern, you need a solid understanding of programming (especially Python), foundational knowledge of machine learning concepts, and coursework or experience in statistics and mathematics. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate and adapt in a fast-paced research or development setting. These abilities are crucial for contributing to real-world projects, learning from experienced mentors, and building a foundation for a future career in machine learning.

What is the difference between Machine Learning Summer Intern vs Data Science Summer Intern?

AspectMachine Learning Summer InternData Science Summer Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some experience in ML frameworksUndergraduate or graduate in statistics, CS, or related fields; experience in data analysis
Work EnvironmentDeveloping ML models, algorithms, and prototypes in tech or research companiesAnalyzing datasets, creating reports, and supporting data-driven decisions in various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, marketing, and tech firms

While both roles involve working with data, Machine Learning Summer Interns focus on developing algorithms and models, whereas Data Science Summer Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and project scope.

What cities are hiring for Machine Learning Summer Intern jobs?

Cities with the most Machine Learning Summer Intern job openings:

What are the most commonly searched types of Machine Learning Summer jobs?

The most popular types of Machine Learning Summer jobs are:

What states have the most Machine Learning Summer Intern jobs?

States with the most job openings for Machine Learning Summer Intern jobs include:

What other helpful pages are available for Machine Learning Summer Intern?

Other pages related to Machine Learning Summer Intern:

Machine Learning Summer Intern jobs near you
Infographic showing various Machine Learning Summer Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

2027 Machine Learning Summer Internship

Westminster, CO

Advanced Space
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Advanced Spaceexternal

$28 - $37/hr

Temporary, Internship

Posted 15 days ago

Job description

Advanced Space | 2027 Summer Internship | Onsite 

We're going to the Moon. Think you've got what it takes? 

About the Role 

At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a 2027 Machine Learning Summer Intern to join our team and help push the state of the art in aerospace applications.

As a Machine Learning Intern, you'll work alongside experienced technical staff who will provide mentorship and guidance throughout your internship. You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration.

This internship is ideal for students passionate about artificial intelligence, machine learning, aerospace applications, and applied research. You'll have the opportunity to work on meaningful projects while collaborating with engineers and researchers developing innovative solutions for real space missions.

About Advanced Space 

Advanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONE mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers. 

Our team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and seeing your work fly in space, you'll fit right in. 

What You'll Actually Do 

Develop machine learning solutions for aerospace applications.

Research, implement, and evaluate state-of-the-art machine learning algorithms and techniques to solve challenging engineering problems.

Build and test ML models.

Design, develop, and improve machine learning models and systems supporting applications such as:

  • Spacecraft autonomy
  • Anomaly detection
  • Natural language processing
  • Uncertainty quantification
  • Multimodal signal detection

Analyze data and optimize performance.

Perform data preprocessing, feature engineering, model evaluation, and optimization to improve the performance, scalability, and reliability of ML solutions.

Collaborate with engineering teams.

Work alongside aerospace and software engineers to integrate machine learning solutions into mission-focused applications.

Share your research and findings.

Document technical work and present project results through reports, presentations, and discussions with the technical team.

Who Thrives Here 

  • You are currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • You have experience programming in Python and working with data processing libraries such as Pandas, NumPy, or Scikit-learn.
  • You have experience with machine learning frameworks such as TensorFlow or PyTorch.
  • You understand foundational machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction.
  • You are familiar with software development best practices, including Git version control.
  • You enjoy solving complex technical problems and conducting applied research.
  • You communicate technical concepts clearly and collaborate effectively with teammates.

Bonus Points if You Have Experience With

  • CUDA C/C++ or GPU computing
  • High-performance or scientific computing
  • Natural language processing
  • Computer vision
  • Aerospace engineering concepts such as nonlinear estimation, optimization, or control theory
  • Machine learning applied to engineering or scientific problems

Success is Measured By 

  • Developing and evaluating machine learning solutions for real aerospace challenges.
  • Applying ML techniques to meaningful mission-focused projects.
  • Collaborating effectively with engineers and technical staff.
  • Communicating research findings clearly through documentation and presentations.
  • Building technical skills through mentorship and hands-on experience.

Why Join Advanced Space 

  • Gain hands-on experience applying machine learning to real space missions.
  • Work alongside engineers and researchers solving complex aerospace challenges.
  • Contribute to innovative projects supporting missions to the Moon and beyond.
  • Receive mentorship and guidance from experienced technical staff.
  • Be part of a growing company where your contributions directly support mission success.

Compensation & Benefits 

  • Competitive internship compensation: $28-$37/hour
  • Housing stipend
  • Mentorship and guidance from technical staff
  • Opportunities to contribute to research projects directly tied to active space missions
  • Collaborative work environment at our Westminster, Colorado headquarters

Advanced Space is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. 

Apply