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Entry Level Machine Learning Jobs in Minnesota (NOW HIRING)

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Entry Level Machine Learning information

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$12

$17

$21

How much do entry level machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level machine learning in Minnesota is $17.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $18.61 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

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 Entry Level Machine Learning jobs in Minnesota?

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

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

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

What cities in Minnesota are hiring for Entry Level Machine Learning jobs?

Cities in Minnesota with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $35,579 per year, or $17.1 per hour.

Plater 1 - Afternoon Shift

Douglas Machine, Inc.

Alexandria, MN • On-site

$20.13 - $23/hr

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Description
Looking for an entry level opportunity at a fast paced, growing company? Join the Douglas Finishing team as a shop laborer. Assist and learn along the side of experienced Platers and Painters in obtaining high quality finishes and methods for our company and customers.
A day to day glimpse of responsibilities include:
  • Learning racking techniques that optimize part quality and quantity
  • Building racks to optimize quantity of new product
  • Understanding and using proper post-plating procedures for rinsing and drying parts
  • Following inspection and packaging procedures

The person in this position must be able to learn the daily essential responsibilities and goals to perform successful results.
All full time positions offer attractive compensation and benefits that include ESOP stock allocation, 401(k) match, a company health clinic, medical, dental, life and disability insurance, volunteer time off, along with holiday pay and paid time off.
As a global leader in the packaging automation industry, Douglas has grown and prospered the right way through supporting our employees, customers, partners, competitors and the world around us with integrity and respect. Be an employee owner. Douglas offers an exceptional environment to achieve your career goals with a positive culture that encourages input and fosters growth at all levels. We believe in teams building strong relationships and working together towards a common vision that aligns with our mission and values.
The base pay for this role is $17.50-$20.00 per hour. This position receives an afternoon shift differential of 15%, resulting in an adjusted wage of $20.13-$23.00 per hour.