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Junior Machine Learning Jobs in Minnesota (NOW HIRING)

AV

Summer 2027 Machine Learning Intern

Saint Paul, MN · On-site

Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Summer 2027 Machine Learning Intern

Saint Paul, MN · On-site

Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

AV

Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above ... As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

Evaluate and recommend appropriate machine learning algorithms and modeling techniques * Monitor ... Mentor junior and mid-level Data Scientists through technical guidance, code reviews, and ...

Strategic Education

Data Scientist II

Minneapolis, MN · On-site

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data ... Mentor junior team members and help elevate overall team capabilities. Essential Duties ...

UnitedHealth Group

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

The successful candidate will leverage statistical modeling, machine learning, predictive analytics ... Mentor junior data scientists and analysts on analytical techniques, experimental design, and model ...

UnitedHealth Group

Sr Data Scientist - Remote

Minnetonka, MN · On-site +1

$91K - $163K/yr

The successful candidate will leverage statistical modeling, machine learning, predictive analytics ... Mentor junior data scientists and analysts on analytical techniques, experimental design, and model ...

Ultimus Fund Solutions

Senior AI Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Architect and scale machine learning pipelines to support automated workflows across Fund ... Mentor junior engineering staff and advise the Managing Director on technical priorities and secure ...

U.M.C., INC.

CNC Machinist - Swiss - Weekends

Monticello, MN · On-site

$33.39 - $55.50/hr

We're a passionate team that values collaboration, continuous learning, and going above and beyond ... Junior Machinists and Production Operators in diagnosing and resolving technical issues that arise ...

U.M.C., INC.

CNC Machinist - Swiss - Nights

Monticello, MN · On-site

$34.78 - $57.81/hr

We're a passionate team that values collaboration, continuous learning, and going above and beyond ... Junior Machinists and Production Operators in diagnosing and resolving technical issues that arise ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Minnesota

Junior Machine Learning information

See Minnesota salary details

$7

$26

$46

How much do junior machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for junior machine learning in Minnesota is $26.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $32.50 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Minnesota?

The most popular types of Machine Learning jobs in Minnesota are:

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

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

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

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

What cities in Minnesota are hiring for Junior Machine Learning jobs?

Cities in Minnesota with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,914 per year, or $26.4 per hour.

Summer 2027 Machine Learning Intern

AV

Saint Paul, MN • On-site

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Worker Type

Supplemental

Job Description

Summer Internship Program Our paid Summer Internship Program is designed to provide students with an immersive, hands-on experience within the aerospace and defense industry. Interns work alongside AV team members on meaningful projects involving cutting-edge technology while developing professional relationships, strategic problem-solving skills, and practical experience in a full-time work environment.

This is a 12-week, onsite program intended for highly motivated and passionate students who are currently enrolled in college or are recent graduates. Applicants must have a minimum 3.0 GPA, with a preference for students at the junior level or above.

Our program has been recognized by Yello and WayUp as one of the Top 100 Internship Programs in the United States for multiple years.

Depending on the team and location, students who are willing to relocate for their internship may be eligible for a relocation and housing reimbursement stipend.

AV offers internship opportunities across various teams and locations throughout the United States. Specific team, location, and program details will be discussed during the interview process.

As a Machine Learning Intern , you will have the opportunity to support the R&D Group at AV in developing innovative computer vision solutions for defense and commercial applications. You will contribute to small, focused design teams working on detection, classification, localization, and tracking technologies. This internship will expose you to various stages of the development process including concept design, prototyping, testing, and evaluation.

Position Responsibilities

  • Support the development of computer vision and machine learning algorithms for detecting, classifying, localizing, and tracking objects-of-interest using UAV-mounted gimballed cameras.
  • Assist in writing and testing software to integrate ML algorithms into aircraft systems (e.g., autopilots, payloads, robotic platforms).
  • Explore and visualize data to understand distribution patterns and potential anomalies.
  • Assist in implementing machine learning systems and validating designs through experiments.
  • Help define objectives, develop models, and track their performance using metrics.
  • Perform data analysis tasks using AV tools and industry-standard platforms.
  • Help manage project resources such as datasets, hardware, and time to support project timelines.
  • Contribute to the evaluation of ML algorithm performance and model deployment strategies.
  • Participate in data preparation activities, including cleaning and transformation.
  • Assist in error analysis and developing corrective strategies.
  • Research and experiment with appropriate ML algorithms and tools.
  • Support running tests and experiments on selected datasets and data representations.
  • Follow standard procedures to analyze data and support development tasks.
  • Perform other duties as assigned.

Basic Qualifications (Required Skills & Experience)

  • Currently pursuing a BS in Computer Vision, Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Familiarity with C/C++ and MATLAB.
  • Proficiency with office productivity tools.
  • Basic troubleshooting skills for technical systems.

Other Skills & Qualifications

  • Exposure to deep learning frameworks (e.g., TensorFlow, Keras).
  • Familiarity with Python and libraries such as scikit-learn and pandas.
  • Experience with data visualization and handling large datasets.
  • Exposure to OpenCV and working in a Linux environment.
  • Understanding of key concepts in:
  • Machine learning
  • Computer vision
  • Mathematical optimization
  • Data mining
  • Predictive analytics
  • Ability to assist in selecting hardware/software for model deployment.

Preferred Qualifications

  • Effective communication and teamwork skills.
  • Strong initiative and eagerness to learn in a fast-paced R&D environment.
  • Willingness to take ownership of tasks and learn from feedback.
  • Ability to adapt to changing priorities and work independently under supervision.

Physical Demands

  • Ability to work in an office and lab environment.
  • May be required to sit or stand for long periods, use hands/fingers for computer and communication tasks.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A “U.S. person” according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits : AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits .

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we’ve been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world’s most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution’s permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company’s hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status.

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