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Machine Learning Engineer Intern Jobs in Madison, WI

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... This role demands expertise in Machine Learning, Natural Language Processing, and emerging ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications--LLMs, RAG, copilots, and ...

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications-LLMs, RAG, copilots, and ...

AI Engineer II

Middleton, WI · On-site

$100K - $137K/yr

Write, test, and ship real AI and machine learning code that makes it into production, with support from senior engineers. * Build features for generative AI applications-LLMs, RAG, copilots, and ...

Senior Applied ML Engineer

Middleton, WI · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

The Sr AI Engineer is a hands-on technical leader who ships enterprise-scale AI into production and ... Design, build, ship, and own enterprise AI and machine learning solutions in production. * Build ...

Showing results 21-40

Machine Learning Engineer Intern information

See Madison, WI salary details

$25.7K

$42.9K

$88.7K

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

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Madison, WI is $42,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,700.00 and $46,400.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Madison, WI? The most popular types of Machine Learning Engineer jobs in Madison, WI are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Madison, WI? For Machine Learning Engineer Intern jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Madison, WI look for? The top searched job categories for Machine Learning Engineer Intern jobs in Madison, WI are:
What cities near Madison, WI are hiring for Machine Learning Engineer Intern jobs? Cities near Madison, WI with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,908 per year, or $20.6 per hour.

Lead AI Platform Engineer

Abbott

Madison, WI

$99K - $198K/yr

Full-time

Posted 10 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

180th of 538 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Position Overview
The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.

Essential Duties
Include, but are not limited to, the following:

  • Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.
  • Complete the development and deployment of AI models and algorithms to solve complex problems.
  • Stay updated on advancements in AI research and technology to guide initiatives.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.
  • Coach, support, and provide mentorship for team members.
  • Champion ethical AI practices and ensure compliance with regulatory standards.
  • Address issues related to data privacy, security, and biases in AI systems.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor's Degree.
  • Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
  • Demonstrated understanding of ethical considerations in AI systems.
  • 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
  • Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
  • Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Preferred Qualifications:

  • Experience designing and deploying Gen AI solutions at scale.
  • Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation
  • Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g. DPO
  • Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

The base pay for this position is

$99,300.00 - $198,700.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:ONCO Cancer DiagnosticsLOCATION:United States > Madison : 5505 Endeavor LnADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:NoMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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