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Machine Learning Engineer Intern Jobs in Indianapolis, IN

... machine learning models and algorithms to solve complex business problems and improve operational ... or Data Engineer, preferably with experience incorporating AI/ML methodologies. • Strong ...

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Engineering. Five years or more experience deploying AI solutions at scale. Experience

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent ...

... machine learning models and algorithms to solve complex business problems and improve operational ... or Data Engineer, preferably with experience incorporating AI/ML methodologies. • Strong ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

Showing results 41-60

Machine Learning Engineer Intern information

See Indianapolis, IN salary details

$22.4K

$37.3K

$77.2K

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

As of Aug 16, 2026, the average yearly pay for machine learning engineer intern in Indianapolis, IN is $37,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,500.00 and $40,300.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Indianapolis, IN?

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

What are popular job titles related to Machine Learning Engineer Intern jobs in Indianapolis, IN?

For Machine Learning Engineer Intern jobs in Indianapolis, IN, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Machine Learning Engineer Intern job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,344 per year, or $18 per hour.

Full-time

Re-posted 12 hours ago


Keystone Cooperative rating

8.6

Company rating: 8.6 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

6th of 65 rated farming


Job description

Job Summary:
Keystone Cooperative is seeking a detail-oriented and highly analytical ML Engineer to assist in driving AI-driven product development initiatives. The successful candidate will apply AI and ML methodologies to enhance products and collaborate with cross-functional teams to develop data-driven solutions.
Responsibilities:
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions tailored to those needs.
• Utilize Snowflake Cortex and other AI/ML development tools to design, implement, and optimize data models and algorithms.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions.
• Analyze complex datasets to extract actionable insights that inform product development strategies.
• Conduct complex statistical analyses, including regression modeling, hypothesis testing, and predictive analytics, to forecast trends and inform strategic decisions.
• Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency.
• Create and maintain detailed documentation of data analysis processes and AI/ML model development.
• Monitor and evaluate the effectiveness of AI/ML models in production and refine them as needed.
• Provide training and support to team members and stakeholders on data analysis tools and techniques.
Qualifications:
Required:
• Must be authorized to work in the United States now and in the future, without company sponsorship.
• Must be able to work onsite in the corporate office in Indianapolis, Indiana.
• Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI/ML methodologies.
• Strong expertise in data analysis tools and languages (e.g., Python, R, SQL).
• Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex findings in a clear and concise manner.
• Strong teamwork and collaboration skills.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
Preferred:
• Master’s degree preferred.
Company:
Keystone Cooperative is an agricultural cooperative that provides agronomy, energy, grain marketing, and swine production services. Founded in 2024, the company is headquartered in Indianapolis, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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