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Machine Learning Summer Intern Jobs (NOW HIRING)

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

... learning. As an employer Penn has been consistently ranked nationally on many occasions with the ... Posted Job Title Summer Intern Job Profile Title Temporary Employee - Non-Exempt Summary The Age of ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... The interview process follows the same structure as our Software Engineering Intern interviews ...

Summer Intern Program

Boston, MA · On-site

$16.25 - $19.50/hr

What You'll Do As an A&G Summer Intern, you'll rotate across teams and disciplines, gaining hands ... Help build decks, summaries, reports, and internal materials Learning & Exposure * Sit in on ...

Mercer Votes Summer Intern

Macon, GA · On-site

$21 - $23/hr

The Center for Engaged Learning is recruiting a summer intern to assist with nonpartisan voter registration, voter education, and student outreach during summer orientation and Opening Day. The ...

Summer Intern

Owings Mills, MD · On-site

$15 - $20/hr

As an intern, you won't just be watching; you'll be an integral part of our team, contributing to ... Imagine working behind the scenes at stunning events, learning the ins and outs of event execution ...

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Machine Learning Summer Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 9, 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 types of projects do Machine Learning Summer Interns typically work on, and how do these contribute to the team's goals?

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 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 are the key skills and qualifications needed to thrive as a Machine Learning Summer Intern, and why are they important?

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 are Machine Learning Summer Interns?

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 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:
Infographic showing various Machine Learning Summer Intern job openings in the United States as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 50% Full Time, 28% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Research Intern - Summer 2027 - Chicago

Machine Learning Research Intern - Summer 2027 - Chicago

IMC

Chicago, IL

$300K/yr

Other

PTO

Posted 7 days ago


Job description

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10-12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact.

Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.

YOUR CORE RESPONSIBILITIES:

  • Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate.
  • Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
  • Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers
  • Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

YOUR SKILLS AND EXPERIENCE:

  • Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 - July 2028
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Must be able to start internship in-person on June 7, 2027

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $300,000