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Machine Learning Developer Intern Jobs in Wisconsin

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Machine Learning Developer Intern information

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.

What cities in Wisconsin are hiring for Machine Learning Developer Intern jobs? Cities in Wisconsin with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech Companies

Cottage Grove, WI • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 1 hour ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

120th of 417 rated machine equipment manufacturers

Job description

Job Type
Full-time
Description
Position Overview:
Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.
Responsibilities:
• Research, design, and implement AI/ML solutions for mobile fitness applications.
• Develop and fine-tune LLMs for natural language interactions and personalization.
• Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).
• Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.
• Collaborate with Android developers to integrate AI features into client-side applications.
• Create prototypes and proof-of-concepts for new AI-driven features.
• Stay current with emerging AI/ML technologies and best practices.
• Ensure compliance with data privacy and security standards.
Requirements
Education:
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Experience:
• 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.
• Hands-on experience with AWS services for AI/ML deployment.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with RESTful APIs and microservices architecture.
Benefits:
We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:
• Health & Dental Insurance
• Company paid Life Insurance
• 401(k)
• Paid Time Off benefits
• Product discounts
• Wellness programs
Equal Opportunity Employer, including Veterans and Individuals with Disabilities

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