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Undergraduate Machine Learning Internship Jobs in Indiana

Mypath

People & Culture Management Intern

Lafayette, IN · Hybrid

$20/hr

About the Internship The People & Culture Management Internship offers students the opportunity to ... Learning Outcomes: The intern will: Gain hands-on experience applying management theory to a multi ...

Varsity Tutors

Linear Algebra Tutor

West Lafayette, IN · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... undergraduate levels. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Varsity Tutors

Business Analytics Tutor

Bloomington, IN · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... support undergraduate and MBA students developing analytical capabilities for modern business ...

Varsity Tutors

Linear Algebra Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... undergraduate levels. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Varsity Tutors

Linear Algebra Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... undergraduate levels. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Varsity Tutors

Linear Algebra Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... undergraduate levels. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Varsity Tutors

Business Analytics Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... support undergraduate and MBA students developing analytical capabilities for modern business ...

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All JobsUndergraduate Machine Learning JobsUndergraduate Machine Learning Internship JobsUndergraduate Machine Learning Internship Jobs in Indiana

Undergraduate Machine Learning Internship information

See Indiana salary details

$24.3K

$40.5K

$83.7K

How much do undergraduate machine learning internship jobs pay per year?

As of Aug 12, 2026, the average yearly pay for undergraduate machine learning internship in Indiana is $40,521.00, 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 is an undergraduate machine learning internship?

An Undergraduate Machine Learning Internship is a temporary position designed for students pursuing a bachelor's degree who want hands-on experience in machine learning. Interns typically work on real-world projects involving data preprocessing, model development, and performance evaluation under the guidance of experienced engineers or researchers. They may also assist with research, implement algorithms, and optimize models for deployment. The role helps students gain practical skills in coding, data analysis, and machine learning frameworks while preparing them for future careers in AI and data science.

What are the key skills and qualifications needed to thrive in an undergraduate machine learning internship, and why are they important?

To thrive as an Undergraduate Machine Learning Intern, you typically need a strong foundation in mathematics, statistics, and programming (Python or R), often supported by ongoing studies in computer science, data science, or a related field. Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, and familiarity with data analysis tools are commonly valued. Curiosity, strong problem-solving abilities, and the willingness to work collaboratively in a team make candidates stand out. These skills and qualities are crucial for learning quickly, making meaningful contributions to real projects, and growing in a fast-paced, technical environment.

What types of projects or tasks can I expect to work on during an undergraduate machine learning internship?

As an Undergraduate Machine Learning Intern, you can expect to assist with tasks such as data preprocessing, model development and evaluation, and implementing machine learning algorithms under the guidance of experienced team members. You may also be involved in cleaning and exploring data sets, creating visualizations, and helping automate parts of the data pipeline. Collaborating with data scientists and engineers, you’ll likely participate in team meetings, code reviews, and brainstorming sessions to address real-world business or research challenges. These hands-on experiences are designed to help you build practical skills and gain exposure to the workflow of professional machine learning projects.

What are popular job titles related to Undergraduate Machine Learning Internship jobs in Indiana? For Undergraduate Machine Learning Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Undergraduate Machine Learning Internship jobs in Indiana look for? The top searched job categories for Undergraduate Machine Learning Internship jobs in Indiana are:
What cities in Indiana are hiring for Undergraduate Machine Learning Internship jobs? Cities in Indiana with the most Undergraduate Machine Learning Internship job openings:
Undergraduate Machine Learning Internship jobs near you
Infographic showing various Undergraduate Machine Learning Internship job openings in Indiana as of June 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,521 per year, or $19.5 per hour.

Machine Learning & Computer Vision Scientist - R&D (Junior/Associate)

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

$56K - $56K/yr

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

50th of 86 rated pharmaceutical

Job description

At Elanco (NYSE: ELAN) - it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better - join our team today!
Your Role: Machine Learning & Computer Vision Scientist - R&D (Junior/Associate)
As the Machine Learning & Computer Vision Scientist (Junior/Associate), you will help drive Elanco's R&D innovation by implementing and refining ML and computer-vision models that support faster, better-informed decisions. You will work closely with senior scientists and R&D stakeholders to turn proprietary molecular, in vitro, imaging, and digital endpoint data into predictive and classification models for target identification, molecular optimization, ADMET, and digital biomarkers in animal health.
Your Responsibilities:
  • Implement and refine ML/CV models under guidance, developing, training, and tuning models on R&D datasets (molecular, in vitro, imaging, behavioral) in collaboration with senior scientists to align with scientific objectives.
  • Prepare and manage datasets for modeling by cleaning, transforming, and merging data from multiple scientific sources, running exploratory analyses, and contributing to feature engineering and clear dataset documentation.
  • Support data collection, annotation, and synthetic data work by helping improve capture and labeling workflows for images, video, and assay data, assisting with annotation guidelines, and evaluating synthetic data and augmentation to improve sparse datasets and model robustness.
  • Assist with model evaluation and reporting by contributing to train/validation/test design, applying appropriate metrics and error analyses, and documenting methods, assumptions, limitations, and results for review and reuse.
  • Collaborate and grow ML/CV expertise by joining cross-functional project meetings, sharing learnings through short demos or presentations, and actively building knowledge in drug discovery, development, and ML/CV techniques.

What You Need to Succeed (minimum qualifications):
  • Education: Master's degree in a quantitative field (e.g., Data Science, Engineering, Mathematics, Physics, Statistics, Bioinformatics)
  • Required Experience: Early applied ML/CV experience: 0-3 years applying ML and/or computer vision to real datasets through academic projects, internships, industry roles, or open-source work, with evidence of hands-on model development and evaluation.
  • Top Technical and interpersonal skills: Proficiency in Python and familiarity with ML/CV libraries such as scikit-learn, PyTorch or TensorFlow, and OpenCV; understanding of core ML concepts and basic deep learning; and a collaborative, clear-communicating working style.

What will give you a competitive edge (preferred qualifications):
  • Scientific data and project experience: Exposure to scientific datasets (e.g., high-content imaging, histopathology, microscopy, behavioral video, assay data) and completed projects, theses, or publications showing applied ML/CV skills with scientific or healthcare relevance.
  • Technical craft and tooling: Familiarity with training deep learning models on GPUs, use of Git and reproducible workflows, and exposure to data platforms or cloud environments such as Databricks, Azure, or AWS.
  • Growth orientation and initiative: Demonstrated ability to learn quickly, iterate on models and analyses, and contribute to reusable code, tools, or documentation that improve team efficiency and quality.

Additional Information:
  • Travel: Up to 10%
  • Location: Global Elanco Headquarters - Indianapolis, IN - Hybrid Work Environment

Elanco Benefits and Perks:
We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:
  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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