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Machine Learning Intern Jobs in Hammond, IN (NOW HIRING)

Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a ... Available to intern during Summer 2027. * Open to full-time opportunities upon graduation. * Strong ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

What you'll do as a Quantitative Research Intern at Akuna: Akuna's Quant team is looking to add ... Develop trading strategies using statistical and machine learning algorithms. * Design and ...

Quantitative Research Intern

Chicago, IL ยท On-site

$250K - $300K/yr

As a Quantitative Research Intern you will have an opportunity to solve challenging problems ... Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to ...

Showing results 21-40

Machine Learning Intern information

See Hammond, IN salary details

$24.6K

$41K

$84.7K

How much do machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning intern in Hammond, IN is $40,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,300.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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 key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon 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 are the most commonly searched types of Machine Learning jobs in Hammond, IN?

The most popular types of Machine Learning jobs in Hammond, IN are:

What job categories do people searching Machine Learning Intern jobs in Hammond, IN look for?

The top searched job categories for Machine Learning Intern jobs in Hammond, IN are:

What cities near Hammond, IN are hiring for Machine Learning Intern jobs?

Cities near Hammond, IN with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Hammond, IN as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,998 per year, or $19.7 per hour.

Quantitative Intern (Summer 2027)

Optiver

Chicago, IL โ€ข On-site

$70K - $88K/yr

Full-time, Temporary, Internship

Re-posted 19 days ago


Job description

As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data, technology, and AI-enabled tools come together to identify opportunities, test ideas, and drive decision-making in rapidly evolving markets. Through hands-on project work, mentorship, and training led by Optiver's dedicated Education team, you'll build the foundation needed to make an impact.
As part of the interview process, we'll assess your strengths, interests, and skills to determine the best fit, and you may be considered for either a Quant Trading or Quant Research internship offer.
What You'll Do:
Our internship is designed for curious problem-solvers who enjoy continuously learning. Through a combination of structured education, market simulations, and exposure to modern research and AI tools, you'll develop the skills needed to apply quantitative thinking to real-world challenges.
You'll have the opportunity to:
  • Develop a deeper understanding of financial markets, quantitative trading, and the research and technology that power them.
  • Analyze complex datasets, investigate market behavior, and uncover insights that inform decision-making.
  • Apply your quantitative and programming skills to solve real trading challenges and build impactful tools.
  • Strengthen your decision-making skills through live market simulations and hands-on experience.
  • Explore how AI tools can accelerate research, experimentation, and quantitative decision-making
  • Learn directly from experienced traders and researchers in a collaborative, high-performance environment.

What You'll Get:
You'll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you'll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.
In addition, you'll receive:
  • The opportunity to work alongside best-in-class professionals from over 40 different countries.
  • The opportunity to earn a return internship or full-time offer in Chicago, Austin, New York City, or Amsterdam based on performance.
  • A highly competitive internship compensation package.
  • Optiver-covered flights, living accommodations, and commuting stipends.
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more.

Who You Are:
  • Currently pursuing a Bachelor's or Master's degree in a STEM field.
  • Expected graduation between December 2027 and June 2029, with sophomore standing or higher.
  • Available to intern during Summer 2027.
  • Open to full-time opportunities upon graduation.
  • Strong quantitative, analytical, and logical reasoning skills.
  • Solid foundation in mathematics, probability, and statistics.
  • Experience with programming or scripting in Python or another language.
  • Strong interest in financial markets, quantitative research, and decision-making.
  • Excited to work in a fast-paced, collaborative environment.
  • Fluent in English with strong written and verbal communication skills.

Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.
Below is the expected compensation for this position. This is a good-faith estimate of the base pay scale and sign-on bonus for this position and offers will ultimately be determined based on experience, education, skill set, and performance in the interview process. This position will also be eligible for the benefits listed above.
Base Salary Range
$70,000-$88,000 USD