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

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Akuna Capital

Quantitative Researcher

Chicago, IL

$145K/yr

Design and optimize machine learning workflows to support scalable, efficient, and reproducible ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

DRW

FPGA Intern

Chicago, IL · On-site

$225K/yr

As an FPGA Intern , you will build advanced trading applications leveraging cutting-edge technology ... Machine Learning, or any related science discipline and have an expected graduation date between ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

Understanding of machine learning / signal processing fundamentals * Comfort with linear algebra * Experience with web development (especially TypeScript / Vue) * Experience with ROV / AUV hardware ...

DRW

Quantitative Trading Analyst Intern

Chicago, IL · On-site

$250K/yr

As a Quantitative Trading Analyst Intern , you will gain exposure to the dynamic worlds of trading ... machine learning techniques to market tick data for automated trading * Be given immediate ...

DRW

Software Developer Intern

Chicago, IL · On-site

$225K/yr

As a Software Developer Intern , you will build advanced trading and risk applications leveraging ... Machine Learning, or any related science discipline and have an expected graduation date between ...

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

Machine Learning Intern information

See Highland, IN salary details

$23.5K

$39.3K

$81.2K

How much do machine learning intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning intern in Highland, IN is $39,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Highland, IN? The most popular types of Machine Learning jobs in Highland, IN are:
What cities near Highland, IN are hiring for Machine Learning Intern jobs? Cities near Highland, IN with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Highland, IN as of June 2026, with employment types broken down into 2% As Needed, 44% Full Time, 50% Part Time, 2% Contract, and 2% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $39,294 per year, or $18.9 per hour.

Software Engineer, Intern (Summer 2027)

Aquatic Capital Management

Chicago, IL • On-site

Full-time, Temporary, Internship

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world's most competitive arenas-global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.
As a Software Engineering Intern at Aquatic, you will join a fast-moving team building high-performance, distributed systems that power our research and trading infrastructure. You'll work closely with experienced engineers and quants to design tools, improve system reliability, and optimize our platform for low-latency, high-throughput data processing. This is a hands-on, impactful role-your work will directly influence live systems and research workflows.
Requirements:
  • Active student pursuing a BS, MS, or PhD in mathematics, statistics, machine learning, physics, computer science, or other scientific disciplines with an expected graduation date between Fall 2027 and Summer 2028.
  • Solid programming skills in Python and/or C++
  • Strong understanding of algorithms, systems, and computer architecture
  • Curiosity about how things work, and a desire to build systems that do things better
  • Ability to thrive in a collaborative, fast-paced environment
  • Learn software design and testing techniques, such as Refactoring and Test Driven Development

Candidate qualities:
  • Strong bias for action
  • Driven by accountability and internal urgency
  • Desire to independently seek best solutions
  • Preference for working in a team that focuses on delivering results aligned with Research goals
  • Comfortable providing and receiving actionable feedback in a collaborative team setting
  • Motivated by an ambitious environment and driven colleagues

Benefits:
  • Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
  • Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
  • Development: Open environment to maximize learning and knowledge sharing
  • Time: Generous PTO, paid holidays, competitive paid caregiver leaves

Aquatic Capital
This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm's culture will be shaped by collaboration, meritocracy, ambition, and calm determination.
Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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