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Machine Learning Developer Intern Jobs in Muncie, IN

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Machine Learning Developer Intern information

See Muncie, IN salary details

$23.6K

$39.5K

$81.6K

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

As of Jul 9, 2026, the average yearly pay for machine learning developer intern in Muncie, IN is $39,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,700.00 per year, depending on experience, location, and employer.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Machine Learning Developer Intern jobs near you
Quality Assurance Technician

Quality Assurance Technician

Perfecto Tool & Engineering Co Inc

Anderson, IN

Other

Posted 7 days ago

Job description

Description

Mission Statement


The mission of the Quality Assurance Technician is to ensure that all parts and equipment produced by Perfecto meet the highest standards of precision, reliability, and customer requirements. This role is accountable for inspecting materials and finished products, documenting results, and working with the manufacturing teams to prevent and resolve quality issues. The Quality Assurance Technician will champion continuous improvement, uphold compliance standards, and model Perfecto's Core Values: Customer Experience, Integrity, Learning, and Stewardship.


Requirements

Role Specific Capabilities & Credentials (Required)

  • 5 years' experience as Quality Supervisor, Technician or Inspector in a manufacturing setting.
  • Skilled in the use of precision measurement tools (micrometers, calipers, CMMs, comparator, indicators)
  • Experience developing quality department and processes preferred.
  • Ability to read and interpret engineering drawings, blueprints, GD&T, and specifications.
  • Accurate, detailed documentation of inspection results, quality records, and audit findings.
  • Identify recurring issues, propose corrective actions, and participate in improvement initiatives.
  • Commitment to consistency and accuracy when evaluating product quality
  • Work effectively with machinists, assemblers, management, and leadership to ensure quality requirements are understood and met


Role Specific Capabilities & Credentials (Preferred)

  • Specific Experience with PC-DMIS software and/or Hexagon Platform
  • ASQ CQI (Certified Quality Inspector) or equivalent training preferred
  • ISO 9001:2015 experience preferred

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