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Junior Machine Learning Jobs in Minnesota (NOW HIRING)

Da Vinci Software

.Net Full Stack Developer

MN · On-site +1

... warehousing, machine learning using state of the art software development applications and ... Leads targeted cross-functional improvement efforts and mentors more junior software engineers.

New

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ... Mentor junior data scientist and coordinate activities to complete key data science tasks * Foster ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Champion and implement advanced AI and machine learning techniques to innovate reporting solutions ... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Champion and implement advanced AI and machine learning techniques to innovate reporting solutions ... junior colleagues. * Show advanced proficiency in programming languages such as Python or R for ...

CSAA

... AI and machine learning, and owning the key performance indicators tied to their initiatives ... Please note that we are open to hiring in more junior or senior Product Manager levels in this ...

Pwc

US Tech - AI Engineering Manager

Minneapolis, MN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

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Junior Machine Learning information

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How much do junior machine learning jobs pay per hour?

As of Jun 11, 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 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 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 engineers make $500,000?

Senior engineers in fields like software, data engineering, or specialized roles such as machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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.

Can I get into AI with no experience?

Junior Machine Learning roles typically require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is often preferred, beginners can enter the field by learning relevant skills through online courses, tutorials, and projects, and by gaining familiarity with tools like Python and machine learning frameworks. Building a portfolio and obtaining certifications can also improve chances of entry-level employment.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, extensive expertise, and may include stock options or bonuses as part of compensation packages.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

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 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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $54,914 per year, or $26.4 per hour.
University of Minnesota-Twin Cities -- Software Engineer Intern 2026

University of Minnesota-Twin Cities -- Software Engineer Intern 2026

Maverick Software

Minneapolis, MN • On-site

$18/hr

Part-time

Posted 27 days ago

Job description

Join Maverick Software Consulting - Real Industry Experience While You Study!
Are you a student at the University of Minnesota, Twin Cities with a passion for software development?
Maverick Software Consulting is hiring motivated and talented students to work directly with our industry-leading clients - all while continuing your coursework.
What You'll Do: Help build and test real-world software using technologies like:
  • Java Software Development - Java, Spring Boot, Quarkus, IntelliJ IDEA, Eclipse, and related frameworks.
  • Microsoft Software Development - .NET Core, C#, Visual Studio, and cloud-based .NET solutions.
  • Web Development - HTML, CSS, JavaScript, TypeScript, React, Angular, Vue.js, and cloud-based hosting on AWS, Azure, or Google Cloud.
  • Cloud Development - AWS, Azure, Google Cloud, serverless architectures, containerization (Docker, Kubernetes), and DevOps pipelines.
  • AI & Machine Learning - TensorFlow, PyTorch, OpenAI APIs, Azure AI, AWS SageMaker, natural language processing (NLP), and computer vision applications.
  • Automated Software Testing - Selenium, Playwright, Cypress, JUnit, NUnit, Apache JMeter, AI-driven testing frameworks, and CI/CD automation.

You will be part of a software development team helping our clients develop and test their software. We'll provide training, let you set your own flexible schedule, and give you hands-on experience that employers value.
We provide training to bridge the gap between academic learning and the practical skills needed for an entry-level software engineer. You'll gain real-world experience in software development and testing-not just 'busy' work-as an integral part of our clients' teams.
See what some of our students have to say: https://www.mavericksoftware.com/students
Qualifications:
  • Current Sophomore, Junior, or Senior with at least 13 months remaining before graduation.
  • Pursuing a Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.
  • Availability: 20 hours per week during the school year, 40 hours per week over the summer.
  • Self-motivated, eager to learn, and enthusiastic about applying technical skills in real-world projects.

Apply