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

Akuna Capital

Quantitative Research Intern

Chicago, IL · On-site

$130K/yr

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 ...

DRW

Quantitative Research Intern

Chicago, IL · 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 ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Hammond, IN

Machine Learning Intern information

See Hammond, IN salary details

$24.3K

$40.5K

$83.8K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Hammond, IN is $40,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 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.

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Machine Learning Intern jobs near you
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.

Backend / Frontend Developer Intern

Chicago, IL

Prospect Equities®
Real Estate • 501 - 1,000 employees
Learn more about Prospect Equities®external

$19.75 - $26/hr

Internship

Re-posted 14 days ago

Job description

 1. Frontend Developer Intern:
We are seeking a motivated and detail-oriented Frontend Developer Intern to join our technology team in building responsive, user-friendly public websites and web applications. In this role, you will focus on crafting intuitive and performant user interfaces using JavaScript / TypeScript and React, while collaborating closely with backend engineers to integrate APIs and deliver seamless user experiences. This internship offers hands-on exposure to modern frontend development practices and an opportunity to contribute to real-world, production-level applications. Key responsibilities include:

  • Build, enhance, and optimize frontend components using JavaScript / TypeScript and React to deliver smooth and responsive user experiences.
  • Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable data flow between frontend and backend systems.
  • Participate in the design and refinement of user interfaces with an emphasis on performance, accessibility, and usability.
  • Identify, debug, and resolve frontend issues to continuously improve application quality and user experience.
  • Write and maintain frontend unit tests to ensure code reliability and stability across modern browsers.
  • Assist with the deployment and maintenance of frontend applications on AWS, supporting smooth releases and updates. 

2. Backend Developer Intern:
We are seeking a motivated and detail-oriented Backend Developer Intern to join our technology team in building and maintaining robust, scalable software systems. In this role, you will collaborate closely with data and frontend engineers and contribute to the development of backend services that power real-world applications. Our technology stack includes Java and Spring Boot for backend services, PostgreSQL, MongoDB, and Elasticsearch for data storage and search, React with JavaScript for frontend applications, and AWS for cloud deployment. This internship is ideal for candidates who are passionate about software engineering and eager to gain hands-on experience working on production systems. Key Responsibilities include:

  • Assist in the development, enhancement, and maintenance of backend services using Java and Spring Boot.
  • Design, implement, and optimize database queries using PostgreSQL, MongoDB, and Elasticsearch.
  • Write and maintain unit tests using JUnit to ensure code quality, reliability, and maintainability.
  • Collaborate with the engineering team to deploy, monitor, and maintain backend systems on AWS.
  • Debug, troubleshoot, and optimize backend code to improve system performance and stability.
  • Participate in code reviews and contribute to discussions around system design and architecture. 

3. Mobile Developer Intern:
We are seeking a motivated and detail-oriented Mobile Developer Intern to join our technology team and help build high-quality, cross-platform mobile applications using React Native and Expo. In this role, you will focus on developing intuitive, performant, and user-friendly mobile experiences for both iOS and Android platforms. You will collaborate closely with frontend and backend engineers to integrate RESTful APIs, implement new features, and ensure a seamless mobile user experience. Key responsibilities include:

  • Design, build, and maintain mobile application features using TypeScript and React Native.
  • Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable and efficient data flow between mobile apps and backend systems.
  • Implement responsive and adaptive mobile UI components that provide a consistent experience across iOS and Android devices.
  • Identify, debug, and resolve mobile-specific issues related to performance, usability, and device compatibility.
  • Contribute to mobile unit testing and debugging to ensure code quality and application stability.
  • Assist in building and maintaining mobile deployment workflows, including app builds and environment configurations.

4. Data Analyst Intern:

We are seeking a motivated and analytical Data Analyst Intern who is passionate about data-driven problem solving and eager to transform data insights into meaningful business impact. In this role, you will work closely with our technology and business teams to analyze datasets, build analytical pipelines, and apply statistical and machine learning techniques to support real-world decision-making. Key responsibilities include:

  • Perform data cleaning, transformation, and validation using Python and SQL to ensure data accuracy and reliability.
  • Assist in building and maintaining data pipelines to support analytics, reporting, and modeling workflows.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and actionable insights.
  • Support the develop, evaluate, and improve statistical and machine learning models to use in business decision-making.
  • Contribute to feature engineering and model performance tuning.
  • Create clear and concise reports, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders.

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