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Machine Learning Trainee Jobs in Indiana (NOW HIRING)

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Slitter Operator Trainee / Slitter Operator

Butler, IN · On-site

$20 - $24/hr

This position is ideal for someone who is ambitious and interested in learning one of the most ... machine performance - Maintain a safe and organized work environment - Work closely with team ...

Tradebe

SDS Operator Trainee

East Chicago, IN · On-site

$23.88/hr

This is a great role for mechanically inclined individuals with prior machine or equipment ... Interest in learning about thermal desorption systems (prior knowledge a plus) * Ability to work a ...

Tradebe

SDS Operator Trainee

East Chicago, IN · On-site

$23.88/hr

This is a great role for mechanically inclined individuals with prior machine or equipment ... Interest in learning about thermal desorption systems (prior knowledge a plus) * Ability to work a ...

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All JobsMachine Learning JobsMachine Learning Trainee JobsMachine Learning Trainee Jobs in Indiana

Machine Learning Trainee information

See Indiana salary details

$20.2K

$102.7K

$200.6K

How much do machine learning trainee jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning trainee in Indiana is $102,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,184.00 and $146,239.00 per year, depending on experience, location, and employer.

What kind of projects and tasks can I expect to work on as a machine learning trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

What is the difference between Machine Learning Trainee vs Data Scientist?

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

What are the key skills and qualifications needed to thrive as a machine learning trainee?

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

What is a machine learning trainee?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
What are popular job titles related to Machine Learning Trainee jobs in Indiana? For Machine Learning Trainee jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Trainee jobs in Indiana look for? The top searched job categories for Machine Learning Trainee jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Trainee jobs? Cities in Indiana with the most Machine Learning Trainee job openings:
Machine Learning Trainee jobs near you
Infographic showing various Machine Learning Trainee job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $102,740 per year, or $49.4 per hour.

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted yesterday

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

310th of 617 rated colleges and universities

Job description

Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Position Title: Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning
Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical discovery and precision therapeutics.
This position is ideal for candidates seeking advanced training and leadership opportunities in bioinformatics, pharmacogenomics, artificial intelligence, machine learning, computational drug discovery, and precision medicine.
Research Area
The postdoctoral fellow will contribute to projects in one or more of the following areas:
• Bioinformatics and computational biology
• Multi-omics data integration and analysis
• Pharmacogenomics and computational drug discovery
• Pharmacogenomics and precision medicine
• AI and machine learning applications in biomedical research
• Deep learning and predictive modeling
• Natural language processing and large language models for biomedical data
• Drug response prediction and treatment optimization
• Biomedical knowledge graphs and network medicine
• Translational data science for therapeutic discovery
Primary Responsibilities:
The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
• Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods
• Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data
• Building computational pipelines for drug discovery, drug response prediction, therapeutic target identification, and precision therapeutics
• Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks
• Leading manuscript preparation and contributing to grant proposals and scientific dissemination
• Collaborating with multidisciplinary stakeholders, including clinicians, biomedical scientists, informaticians, and data scientists
Education
Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline
Experience
1. Demonstrated research experience in one or more of the following areas: bioinformatics; pharmacogenomics; artificial intelligence; machine learning or deep learning; pharmacogenomics; computational biology; drug discovery; network medicine; NLP/large language models; or precision medicine
2. Strong programming skills in Python, R, SQL, or related languages
3. Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
4. Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
5. Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
1. Curriculum Vitae
2. Cover letter explaining research interests, relevant experience, and career goals
3. Contact information for 2-3 references
Internal candidates use this link https://careers.purdue.edu/job/Postdoctoral-Research-Associate/43347-en_US/?isInternalUser=true
External candidates use this link https://careers.purdue.edu/job/Post-Doc-Research-Associate/43347-en_US/

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