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Machine Learning Intern Jobs in Fergus Falls, MN

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Machine Learning Intern information

See Fergus Falls, MN salary details

$24.9K

$41.5K

$85.8K

How much do machine learning intern jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning intern in Fergus Falls, MN is $41,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Fergus Falls, MN? The most popular types of Machine Learning jobs in Fergus Falls, MN are:
What cities near Fergus Falls, MN are hiring for Machine Learning Intern jobs? Cities near Fergus Falls, MN with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Fergus Falls, MN as of August 2026, with employment types broken down into 14% Internship, 28% Full Time, 29% Part Time, and 29% Temporary. Highlights an 100% In-person job distribution, with an average salary of $41,506 per year, or $20 per hour.

Agronomy Intern (R.D. Offutt Farms and Syngenta)

R.D. Offutt Company

Perham, MN • On-site

Part-time

Posted 3 days ago

New

Job description

R.D. Offutt Farms and Syngenta, agriculture leaders, are partnering together to create a unique opportunity for college students pursuing a career in agriculture. This internship opportunity will provide the selected students with a hands-on learning experience working on real projects and real solutions. The agronomy interns will learn about nutritional value and sustainability of the potato, crop development, insect, weed and disease scouting, soil sampling, petiole sampling, social responsibility in agriculture and initiate an individual agronomy project before the end of the internship. They will see the vertically integrated farm experience from seed production all the way through processing the raw product. They will work with industry experts from R.D. Offutt Farms, Syngenta and University Professors who support the potato industry.

$16- $19 / hourCompensation & Benefits:Training and development, as well as opportunities to grow within the organization

Specific Duties Include:

  • Assist with crop development, insect, weed and disease scouting, soil sampling, petiole sampling, social responsibility in agriculture and complete an individual agronomy project before the end of the internship and field agronomy problem solving.
  • Gain on -the- job experience learning from industry experts from R.D. Offutt Farms, Syngenta and University faculty
  • Opportunity to present project to leadership (15-minute presentation and Q&A)
  • Opportunity to receive presentation training through Syngenta
  • Access to Syngenta Campus and Learning Edge resources and training
  • Maintain a clean work area, as well as care for all tools, machines, and equipment.
  • Identify and communicate solutions in their area of responsibility.
  • Communicate effectively with management and other team members.
  • Be a self-starter; ability to work independently as well as with other personnel and management.
  • Follow all safety rules and regulations while performing work assignments and adhere to all policies and procedures as specified in company manuals and as directed in the employee handbook.
  • Conduct self in the presence of customers and community to present a professional image of R.D. Offutt Farms and Syngenta.
  • Maintain a positive and professional working relationship with peers, management, and support resources, with a constant commitment to teamwork and exemplary customer service.
  • Perform all other duties as assigned by management in a professional and efficient manner.

Requirements:

  • Enrolled or attending an approved agriculture program or another program approved in writing by R.D. Offutt Farms and Syngenta.
  • Maintain acceptable GPA and attendance while in the program.
  • Student must proactively communicate with management while attending school including providing a copy of their transcripts to R.D. Offutt Farms and Syngenta management after each quarter or semester.
  • Adhere to academic policies, rules and regulations set forth by the higher learning center the student is attending.
  • Agriculture experience preferred.
  • Strong computer skills.
  • Excellent customer service skills.
  • Ability to assemble and perform some maintenance functions on equipment.
  • Valid driver’s license.
  • Candidate must have valid work authorization and be able to work in the U.S. without company sponsorship

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