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Machine Learning Scientist Intern Jobs in Bloomington, IN

Indiana University

Postdoctoral Fellow, Biology

Bloomington, IN · On-site

$45K - $61K/yr

... machine learning approaches for spatial population genetics. Our research integrates custom neural ... D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated ...

Varsity Tutors

Statics and Dynamics Tutor

Bloomington, IN · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

Varsity Tutors

Statics Tutor

Bloomington, IN · Remote

$18 - $40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

SAIC

Chief Engineer

Bedford, IN · On-site

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... and machine learning (AI/ML) applications, and C3I communication architectures * Identify and ...

SAIC

Chief Engineer

Bedford, IN

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... and machine learning (AI/ML) applications, and C3I communication architectures * Identify and ...

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All JobsMachine Learning Scientist Intern JobsMachine Learning Scientist Intern Jobs in Bloomington, IN

Machine Learning Scientist Intern information

See Bloomington, IN salary details

$23.6K

$39.4K

$81.4K

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

As of Aug 17, 2026, the average yearly pay for machine learning scientist intern in Bloomington, IN is $39,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What does a machine learning scientist intern do?

A Machine Learning Scientist Intern typically assists in designing, developing, and testing machine learning models to solve real-world problems. They collaborate with experienced scientists and engineers to analyze data, select appropriate algorithms, and evaluate model performance. Interns often contribute to research projects, data preprocessing, and implementation of prototypes. This role provides valuable hands-on experience in applying machine learning techniques to practical challenges and often involves learning and using tools such as Python, TensorFlow, or PyTorch.

What kinds of projects and collaborations can a machine learning scientist intern expect during their internship?

As a Machine Learning Scientist Intern, you can expect to work on real-world data-driven projects, often involving tasks like data preprocessing, developing and testing machine learning models, and analyzing model performance. Interns typically collaborate with experienced data scientists, engineers, and sometimes product teams, participating in regular meetings and code reviews. This role offers hands-on experience with large datasets and modern ML frameworks, along with mentorship to help you grow your technical and research skills. Working cross-functionally is common, so strong communication and teamwork are valuable assets.

What are the key skills and qualifications needed to thrive as a machine learning scientist intern, and why are they important?

To thrive as a Machine Learning Scientist Intern, you generally need a solid foundation in mathematics, statistics, and programming (especially Python), often supported by coursework or research experience in machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems is typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when collaborating and presenting results. These skills and qualities are vital for effectively developing models, interpreting data, and contributing to innovative projects in a team environment.
Machine Learning Scientist Intern jobs near you

Postdoctoral Fellow, Biology

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 10 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow, Biology
Appointment Status
Non-Tenure Track
Department
IU Bloomington Biology
Location
Bloomington
Position Summary
The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and experimental systems - from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology - enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department, you can find it here:About: Department of Biology: Indiana University Bloomington.
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
The Department of Biology at Indiana University Bloomington invites applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith The lab- in the Evolution,Ecology, and Behavior section-investigates machine learning approaches for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI.
Basic Qualifications
Core job duties include: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences.
Other general responsibilities include: Actively participating in lab meetings and discussions.
Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required.
Required skills:
• Experience with Python
• Experience with high performance computing
• Development of reproducible analysis pipelines
• Strong time management and organizational skills
• Ability to work effectively as a team
• Excellent written and oral communication
• Dependability, initiative, and professionalism
Preferred skills:
• Experience with population genetics.
• Experience with deep learning libraries (e.g., PyTorch, TensorFlow) and development.
Working conditions/demands: The role requires the ability to move about within an office environment.
Department Contact for Questions
To apply: Please submit (1) a cover letter describing your research and educational background, career goals, why you are interested in the position, and the date you are available to start; (2) a current CV; (3) the names and contact information for two references. This can be submitted at the following link: https://indiana.peopleadmin.com/postings/32511
For questions about the position contact Chris Smith (chriscs@iu.edu).
Timing and compensation: Review of applicants will begin May 1 and continue until the position is filled. The ideal start is June 1, although the starting date can be adjusted to suit the candidate. The initial appointment is for one year, with potential reappointment for additional years contingent upon satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.
Additional Qualifications
Salary and Rank
Special Instructions
For Best Consideration Date
05/01/2026
Expected Start Date
06/01/2026
Posting Number
IU-101520-2026

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