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Machine Learning Winter Internship Jobs in Minnesota

Forvis Mazars

Intern Audit Winter 2028

Minneapolis, MN · On-site

$15.75 - $21/hr

Depending on local office needs, internships are available in assurance, tax, or a combination of ... learning fuels growth, and every person feels valued and supported to thrive. What We Offer Our ...

Forvis Mazars

Intern Tax Winter 2028

Saint Paul, MN · On-site

Depending on local office needs, internships are available in assurance, tax, or a combination of ... learning fuels growth, and every person feels valued and supported to thrive. What We Offer Our ...

Forvis Mazars

Intern Audit Winter 2028

Saint Paul, MN · On-site

$15.25 - $20.25/hr

Depending on local office needs, internships are available in assurance, tax, or a combination of ... learning fuels growth, and every person feels valued and supported to thrive. What We Offer Our ...

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All JobsMachine Learning Winter JobsMachine Learning Winter Internship JobsMachine Learning Winter Internship Jobs in Minnesota

Machine Learning Winter Internship information

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

What is the difference between Machine Learning Winter Internship vs Data Science Winter Internship?

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Minnesota?

For Machine Learning Winter Internship jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Machine Learning Winter Internship jobs in Minnesota look for?

The top searched job categories for Machine Learning Winter Internship jobs in Minnesota are:

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Cities in Minnesota with the most Machine Learning Winter Internship job openings:

Machine Learning Winter Internship jobs near you

Internship - Research & Development Engineer

Minnesota Jobs

Minneapolis, MN • On-site

$28.85/hr

Other

Posted 11 days ago

Job description

General Mills R&D Engineer Internship

General Mills makes food the world loves. The company is guided by its Accelerate strategy to boldly build its brands, relentlessly innovate, unleash its scale and stand for good. General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Nature Valley, Blue Buffalo, Häagen-Dazs, Old El Paso, Pillsbury, Betty Crocker, Totino's, Annie's, Wanchai Ferry and more. Headquartered in Minneapolis, General Mills generated fiscal 2026 net sales U.S. $18 billion.

The General Mills Research & Development Internship is a great way to kick-off your career. You will build broad experience in technical foundations, functional depth, and professional development. You'll develop and enhance your digital skills, gaining experience in data analysis, project management, and/or collaboration tools. The internship allows candidates to demonstrate leadership, embrace a learning mindset, build a strong network of peers, develop business context, and learn the General Mills and Innovation, Technology & Quality (ITQ) culture.

As an R&D Engineer Intern, you will experience a robust 10-week internship with hopes that you'll roll into our full-time R&D Leadership Development Program upon graduation. During your internship you will:

  • Leveraging engineering principals to design and test new or improved processes for development and commercialization
  • Partner with Engineering and Manufacturing to develop and scale process solutions
  • Create new, improve existing, and eliminate waste from products and processes
  • Use engineering principles to scale-up products from benchtop and pilot plant to full scale production
  • Collaborate with cross-functional internal partners to build and grow our businesses
  • Engage external partners around the world to increase efficiency and to identify new capabilities
  • Interact with consumers and customers to develop meaningful insights and translate them into concepts, prototypes, and commercial offerings
  • Develop technical depth and business acumen
  • Apply or build digital tools to accelerate learning. Solve technical problems leveraging new or existing digital tools.

Internship is 10-weeks in Summer 2027. The hourly rate for this position is $28.85/hour. General Mills strives to provide fair and competitive pay that reflects your skills, experience, and academic background. The pay for this role considers many factors, including, but not limited to, your degree program, major, and year in school. Beyond a competitive hourly rate, as a General Mills intern, you'll gain access to a comprehensive Total Rewards package designed to support your overall development and wellbeing. This includes partially subsidized housing & relocation assistance (if applicable & requirements are met), a summer of learning and fun featuring networking opportunities with company leaders, comprehensive health benefits, wellbeing resources, and other valuable perks.

Minimum Qualifications:

  • Pursuing a B.S. in Chemical Engineering, Food Process Engineering, or related degree
  • Graduating in Winter 2027 or Spring 2028
  • Experience or interest in programming, data analysis, and modeling

Preferred Qualifications:

  • Strong academic record
  • Demonstrated ability to achieve results and a commitment to developing technical and business skills
  • Adaptability, curiosity, and inventiveness
  • Strong interpersonal and communication skills, passion for R&D, enthusiasm, and the ability to conduct themselves professionally
  • Demonstrated leadership experience in academic projects, extracurricular activities, or previous work experiences

General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.

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