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Machine Learning Engineer Intern Jobs in Saint Paul, MN

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

... night programming, including setup, food coordination, games, and small group curriculum ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

... night programming, including setup, food coordination, games, and small group curriculum ... Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship ...

Anoka County, MN

Victim Witness Intern

Anoka, MN · Hybrid

Position Description The Victim Witness Intern supports the department's operational and administrative needs. Work includes assisting with general victim/witness support tasks including generating ...

Polaris, Inc.

Engineering Intern - Summer 2027

Medina, MN

$17.75 - $23/hr

Programming Hours: weekly functional and centralized learning sessions to broaden your knowledge ... Intern Innovation Challenge: internal case study designed to promote cross functional development ...

New

Deloitte

Senior AI Engineer - SFL Scientific

Minneapolis, MN

$109K - $149K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Saint Paul, MN

Machine Learning Engineer Intern information

See Saint Paul, MN salary details

$25.8K

$43.1K

$89K

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

As of Aug 12, 2026, the average yearly pay for machine learning engineer intern in Saint Paul, MN is $43,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 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 Saint Paul, MN? The most popular types of Machine Learning Engineer jobs in Saint Paul, MN are:
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What cities near Saint Paul, MN are hiring for Machine Learning Engineer Intern jobs? Cities near Saint Paul, MN with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Saint Paul, MN as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 32% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $43,068 per year, or $20.7 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Minneapolis, MN • On-site

Other

Re-posted 21 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply