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Artificial Intelligence Internship Jobs in Indiana

... artificial intelligence, automation, or emerging workplace technologies. * Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework, internships, projects, or ...

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Artificial Intelligence Internship information

What is an artificial intelligence internship?

An Artificial Intelligence (AI) Internship is a temporary position for students or recent graduates to gain hands-on experience working with AI technologies. Interns typically assist with tasks such as data preprocessing, building machine learning models, and supporting research projects under the guidance of experienced professionals. These internships provide valuable exposure to real-world AI applications, tools, and industry practices. They often require a background in computer science, mathematics, or related fields, and can help interns build skills for future AI-related careers.

What types of projects do artificial intelligence interns typically work on during their internship?

Artificial Intelligence interns are often assigned to real-world projects that involve tasks such as data preprocessing, building machine learning models, or evaluating AI algorithms. Depending on the organization, you might work on natural language processing, computer vision, or recommendation systems. Interns usually collaborate closely with data scientists, engineers, and other interns, gaining hands-on experience with industry-standard tools and frameworks. These projects are designed to not only enhance technical skills but also provide exposure to the collaborative problem-solving processes common in AI teams.

What are the key skills and qualifications needed to thrive as an artificial intelligence intern, and why are they important?

To thrive as an Artificial Intelligence Intern, you generally need a solid foundation in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience with data analysis tools, and participation in relevant online courses or certifications are typical requirements. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and learn quickly in dynamic environments. These skills and qualities enable interns to contribute meaningfully to AI projects, adapt to new challenges, and grow within the field.

What is the difference between Artificial Intelligence Internship vs Data Science Internship?

AspectArtificial Intelligence InternshipData Science Internship
Required CredentialsBasic programming, machine learning fundamentalsStatistics, programming, data analysis skills
Work EnvironmentResearch labs, tech companies, startupsBusiness analytics, research, tech firms
Industry UsageAI development, machine learning projectsData analysis, predictive modeling
Common Search IntentAI-focused roles, machine learning projectsData analysis, insights generation

Artificial Intelligence Internships typically focus on developing AI and machine learning models, requiring programming and basic AI knowledge. Data Science Internships emphasize data analysis, statistical modeling, and insights extraction. Both roles are common in tech and research industries, but they serve different core functions within data-driven projects.

How to become an artificial intelligence intern?

To become an artificial intelligence intern, candidates typically need a strong foundation in programming languages like Python, knowledge of machine learning frameworks such as TensorFlow or PyTorch, and relevant coursework or projects in AI or data science. Gaining practical experience through internships, personal projects, or research can improve chances, along with a relevant degree in computer science, engineering, or related fields. Strong problem-solving skills and familiarity with data analysis are also beneficial.

Is an artificial intelligence internship worth it?

An artificial intelligence internship provides hands-on experience with AI tools, programming languages like Python, and machine learning concepts, which can enhance a candidate's skills and employability. It offers industry exposure, networking opportunities, and a chance to apply theoretical knowledge in real-world projects, making it valuable for those pursuing a career in AI or data science.

What are the most commonly searched types of Artificial Intelligence jobs in Indiana?

The most popular types of Artificial Intelligence jobs in Indiana are:

What cities in Indiana are hiring for Artificial Intelligence Internship jobs?

Cities in Indiana with the most Artificial Intelligence Internship job openings:

Infographic showing various Artificial Intelligence Internship job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Senior Computer Vision Engineer

Matrix Design Group

Newburgh, IN โ€ข On-site

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally.

We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position.

This position reports to the Manager of Software Systems.

Duties and Responsibilities

  • Prepare customer-facing presentations for custom model deployments
  • Implement CI/CD pipelines for models, data, and source code
  • Work with product and project managers to ensure that projects proceed on time and on budget
  • Work with other engineers to develop a working understanding of how the AI is developing
  • Document process steps to ensure reasonable human oversight
  • Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
  • Mentor junior engineers and interns
  • Participate in code reviews and sprint planning
  • Understand and apply best practices for object detection modeling
  • Understand and apply TensorFlow, PyTorch, and ONNX core concepts
  • Understand and apply hardware accelerator compilation and execution
  • Understand and apply Jupyter Notebooks/Google Colab concepts
  • Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines

Qualifications & Competencies

Employment Eligibility & Verification

All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time.

Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus.

  • 7+ years of experience in the ML space
  • An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch
  • Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO
  • Experience with containerization technologies such as Docker, Kubernetes, etc.
  • Experience developing software using one or more of the following languages (C/C++, C#, Python)
  • Experience with Linux and/or Windows OS
  • Experience with model, container, and package registries
  • Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry
  • Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
  • Experience with multimodal models such as CLIP, GPT-4V, Llama
  • Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
  • Strong understanding of source control concepts and CI/CD pipelines
  • Must have strong communication, computer, documentation, presentation, and interpersonal skills

Working Conditions

  • Daily Job duties will consist of office, lab, and desk work with occasional field testing required.
  • Candidate may be required to work underground, but on an infrequent basis.
  • While performing the duties of this job, the employee is regularly exposed to work near large moving machinery.
  • Customer operations may contain airborne particles and allergens.
  • Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses.
  • Occasional travel and ability to work various shifts as required by customer.

Physical Requirements

The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Benefits

  • First day coverage of all benefits - no waiting period
  • Premium free medical, dental and vision insurance - working spouse must take single major medical at their place of employment if offered
  • On-site health clinic
  • Basic Life (2x annual base salary at no cost)
  • Optional Life and Accidental Death and Dismemberment (AD&D) insurance
  • Short-Term and Long-Term Disability insurance (no cost)
  • 401(k) Plan with up to an 8% company match
  • FSA for Health Care and Dependent Care
  • 10 Paid annual holidays plus vacation time
  • Educational Reimbursement Program
  • Scholarship Program
  • Optional Gym Membership
  • ESports Room

#LI-Onsite

    Employment Type: FULL_TIME