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Entry Level Machine Learning Jobs in Saint Paul, MN

Experience using machine learning tools to sanitize large data sets, create code or utilities, and improve engineering workflows. * Support customer requests through test structure creation and ...

OPC / DFM Engineer

Bloomington, MN · On-site

$69K - $103K/yr

Experience using machine learning tools to sanitize large data sets, create code or utilities, and improve engineering workflows. * Support customer requests through test structure creation and ...

ConnectWise PSA Admin

Maple Grove, MN · On-site +1

$80K - $100K/yr

... an entry-level role and will require a combination of experience and proven skills for ... Use of machine learning and artificial intelligence Knowledge, Skills, Abilities, and Other ...

... an entry-level role and will require a combination of experience and proven skills for ... Use of machine learning and artificial intelligence Knowledge, Skills, Abilities, and Other ...

These positions range from entry level to experienced personnel. Off shifts are eligible for shift ... Operate custom designed, laser based machinery to process material or parts in accordance with ...

These positions range from entry level to experienced personnel. Off shifts are eligible for shift ... Operate custom designed, laser based machinery to process material or parts in accordance with ...

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Entry Level Machine Learning information

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

As of Jul 28, 2026, the average hourly pay for entry level machine learning in Saint Paul, MN is $17.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $19.18 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 $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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 knowledge in data analysis, programming, and domain expertise that AI tools currently 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. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
What are the most commonly searched types of Machine Learning jobs in Saint Paul, MN? The most popular types of Machine Learning jobs in Saint Paul, MN are:
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What job categories do people searching Entry Level Machine Learning jobs in Saint Paul, MN look for? The top searched job categories for Entry Level Machine Learning jobs in Saint Paul, MN are:
What cities near Saint Paul, MN are hiring for Entry Level Machine Learning jobs? Cities near Saint Paul, MN with the most Entry Level Machine Learning job openings:
Infographic showing various Entry Level Machine Learning job openings in Saint Paul, MN as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,740 per year, or $17.7 per hour.
University of Minnesota-Twin Cities -- Software Engineer Intern 2026

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

Maverick Software

Minneapolis, MN

$18/hr

Part-time

Posted 15 days ago


Job description


Join Maverick Software Consulting - Real Industry Experience While You Study!


Are you a student at theUniversity of Minnesota, Twin Cities with a passion for software development?


Maverick Software Consulting is hiringmotivated 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.