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Machine Learning Researcher Jobs in Minnesota (NOW HIRING)

Autodesk

$106K - $138K/yr

United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning developers and ...

Whiterabbit.ai

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Whiterabbit.ai

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Whiterabbit.ai

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Whiterabbit.ai

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Whiterabbit.ai

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

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Showing results 21-40

All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Minnesota

Machine Learning Researcher information

See Minnesota salary details

$29.4K

$110.8K

$161.1K

How much do machine learning researcher jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning researcher in Minnesota is $110,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What are popular job titles related to Machine Learning Researcher jobs in Minnesota?

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

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

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

Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,773 per year, or $53.3 per hour.

Research Software Engineer -- R&D, Data Science & Machine Learning

Boon Logic Inc.

Minneapolis, MN • On-site

$95K - $125K/yr

Other

Posted 15 days ago

Job description

Boon Logic is hiring a Research Software Engineer to support advanced R&D and rapid prototyping initiatives alongside our CTO and senior technical leadership.

This role is ideal for a software engineer who enjoys solving difficult technical problems, building prototypes quickly, and working in collaborative technical environments. You''ll spend more time in algorithm discussions and whiteboard sessions than in deployment pipelines or enterprise software maintenance.

This is an onsite role in Minneapolis working directly with a small, technical team. Due to program requirements, this role requires U.S. citizenship and eligibility to work in a NOFORN (No Foreign Nationals) environment.

Compensation: $95,000–$125,000, based on experience

What You''ll Be Doing

  • Rapid prototyping and exploratory software development
  • Collaborating directly with technical leadership on advanced concepts and algorithm development
  • Participating in frequent whiteboard and technical design sessions
  • Building research-oriented tools and proof-of-concept implementations
  • Working primarily in Python and/or C++ in Linux environments
  • Contributing to technical R&D efforts involving data analysis, machine learning, and high-performance computation

Role Breakdown
75% Research and Prototyping | 25% Development | 0% Deployment / DevOps

Requirements

  • B.S. or B.A. in Computer Science, Mathematics, Engineering, or related technical field
  • 3–5 years of industry experience in software engineering or related R&D work
  • Strong proficiency in either Python or C++
  • Strong mathematical and analytical problem-solving skills
  • Experience with rapid prototyping
  • Linux and Git proficiency
  • Must be located in the Greater Minneapolis area

Nice to Have

  • Exposure to machine learning, signal processing, or scientific computing
  • Experience in technical or research-driven environments
  • Familiarity with high-performance or low-latency systems
  • Comfortable operating in fast-moving, ambiguous R&D environment
  • Familiarity with Mathematica a plus

We''re looking for engineers who are curious, technically sharp, collaborative, and capable of turning concepts into working prototypes quickly.

Apply