ZipRecruiter

Log In

1

Machine Learning Jobs in Minnesota (NOW HIRING)

Autodesk

$106.80K - $138.70K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Autodesk

Job Requisition ID # 26WD97132 26WD97132, Pr incipal Machine Learning Engineer, ML Platform and Systems Architecture French translation to follow!/Traduction francaise a suivre! Position Overview The ...

Mate Precision Technologies

Machinist Intern

Anoka, MN · On-site

$22 - $24/hr

The Machinist Intern at Mate Precision Technologies will perform general maintenance on various machines and learn to operate manual and CNC machines within their department. They will also learn to ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning JobsMachine Learning Jobs in Minnesota

Machine Learning information

See Minnesota salary details

$25K

$41.7K

$86.2K

How much do machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning in Minnesota is $41,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,100.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
More about Machine Learning jobs
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 Machine Learning jobs in Minnesota? For Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Minnesota look for? The top searched job categories for Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Machine Learning jobs? Cities in Minnesota with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Minnesota as of May 2026, with employment types broken down into 49% Full Time, 47% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $41,707 per year, or $20.1 per hour.
Machine Learning Engineer - Python

Machine Learning Engineer - Python

Data Recognition Corporation

Maple Grove, MN • On-site

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

DRC is one of the largest educational assessment and curriculum/instruction companies in the industry.
Machine Learning Engineer
Data Recognition Corporation, Maple Grove MN
Company cannot provide sponsorship for this role
Please, no agencies or third parties
Summary:
DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing production-ready ML models. Working within an interdisciplinary team, you will develop Python-based AI solutions that run in scalable, cloud-native environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.
Essential Responsibilities:
  • Design, train, evaluate and iterate on machine learning models to support DRC's education analytics products
  • Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
  • Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
  • Diagnose and communicate issues related to model performance, data quality, or deployment behavior
  • Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Contribute to best practices for model versioning, reproducibility and monitoring.

Required Qualifications:
  • 2-5 years of professional experience with Python.
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Experience preparing datasets, training models and evaluating performance
  • Hands-on experience with NLP techniques and large language models (e.g., transformers)
  • Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
  • Ability to communicate technical findings and issues clearly across teams
  • Familiary with deploying ML models to cloud-based environments (AWS preferred)
  • Understanding of CI/CD concepts and how models move from experimentation to production
  • Ability to identify and articulate deployment related issues without owning implementation

Preferred Qualifications (nice to have, not required):
  • Associates or Bachelor's degree in Computer Science, Information Systems, Data Science or related technical field.
  • Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data
  • Experience working with version control (Git) and a collaborative development workflow

Essential Job Requirements:
  • Be able to work under supervision and accept feedback
  • Familiarity with Microsoft Office Suite
  • Relate effectively and work respectfully with diverse work groups
  • Ability to consistently perform well during times of increased workload
  • Set and meet deadlines
  • Manage multiple job functions simultaneously

Reporting to this position: No direct reports
DRC retains the right to change or assign other duties to this position
No Agencies, Please
Company cannot provide sponsorship for this position
www.datarecognitioncorp.com
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
DRC offers a comprehensive benefits program that allows employees to make choices that best meet their current and future needs. We offer many benefits, including medical, wellness, dental, and vision insurance, a 401(k), flexible spending and health savings accounts, short and long-term disability insurance, and life insurance. DRC also offers a generous paid time off policy and community service leave.
Data Recognition Corporation is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
The salary range is a guideline. Compensation will be based on skills, knowledge, and experience.

Apply