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Entry Level Machine Learning Jobs in Minnesota (NOW HIRING)

Packaging

Winona, MN · On-site

$30K - $45K/yr

This is an entry-level position based out of our distribution center located at 1858 Service Dr ... machine o Inspecting product for quality and accuracy o Using a scale for weighing product o ...

Packaging

Winona, MN · On-site

$15/hr

This is an entry-level position based out of our distribution center located at 1858 Service Dr ... machine o Inspecting product for quality and accuracy o Using a scale for weighing product o ...

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Entry Level Machine Learning information

See Minnesota salary details

$12

$17

$21

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

As of Jun 30, 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 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 is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
What are the most commonly searched types of Machine Learning jobs in Minnesota? The most popular types of Machine Learning jobs in Minnesota are:
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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:
Fabricator (Welder) - Prefabrication Shop

Fabricator (Welder) - Prefabrication Shop

ArchKey Solutions LLC

Minneapolis, MN

$21 - $27/hr

Full-time

Posted 3 days ago


Job description

Description

Fabricator (Welder) – Prefabrication Shop
This position is based in Hammond, WI
 
About ArchKey 
 
ArchKey is one of the nation’s largest privately held specialty trade installation and integrated facility service companies. We are a leader in designing, building and maintaining electrical, technologies and specialty systems. We’re the POWER behind making the improbable possible.  
We’re electrifying the nation, energizing the future and bringing communities to life like never before. What we do today shapes the vision of tomorrow. Our work impacts lives long after the building is done. This means we are committed to building in ways that are not just technologically advanced, but sustainable, scalable and equitable by all. We’re not just energizing infrastructure, we’re energizing careers, communities, and the future.  
Made up of the brightest minds in the industry, our team is our greatest asset bringing knowledge, skills, and experience to every project. This is more than a call to join us, it’s an invitation to be part of a visionary journey, to grow with us as we scale.  
 
About the Position
 
Join our dynamic team as an Installer in our Prefabrication Shop and play a vital role in bringing innovative construction projects to life! In this energetic position, you will be responsible for assembling, installing, and verifying prefabricated components with precision and efficiency. Entry level candidates welcome to apply. You will help ensure that each project meets quality standards and is completed on schedule. This role offers an exciting opportunity to work in a fast-paced environment where your skills directly contribute to building solutions that make a difference. 
 
Our Ideal Candidate 
 
  • Can flex and adapt with the growing needs of the business.
  • Can work autonomously and creatively solve problems.
  • Has a growth mindset and is always looking to continually learn and grow. 
 
Day in the Life 
 
  • Fabricate metal structures by cutting, bending, assembling, and welding components according to project requirements.
  • Read and interpret blueprints, schematics, and technical drawings to guide fabrication processes.
  • Operate various power tools, hand tools, plasma cutters, press brake machines, and machining equipment to shape sheet metal and ductwork components.
  • Conduct rigging and pipe threading tasks for assembly or installation purposes.
  • Maintain a clean and safe work environment by adhering to safety protocols related to construction site practices, mechanical handling, and use of power tools.
Minimum Qualifications 
 
  • High School diploma or equivalent
  • Trade school diploma/certification preferred
  • Ability to work as a team with a positive attitude and strong work ethic.
  • Open to learning new skills and willingly accepts feedback for continuous improvement.
  • Dedicated team player with strong customer service orientation.