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Research Assistant Machine Learning Jobs in Minnesota

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.You willdevelophigh performing scalablesystems in the context of large ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

Experience integrating Machine Learning solutions into production-grade software with a sound ... in research and engineering fields * Previous exposure to Natural Language Processing (NLP ...

THOMSON REUTERS

Senior Research Engineer

Eagan, MN · Hybrid

$106K - $146K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

Thomson Reuters

Senior Research Engineer

Eagan, MN · On-site

$106K - $146K/yr

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

Mayo Clinic

Research Assistant - Simner Lab

Rochester, MN · On-site

$18.43 - $24.75/hr

The candidate must be open to learning how to work with infectious microorganisms and follow appropriate biosafety practices. Perform various support functions in a research laboratory using ...

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Research Assistant Machine Learning information

See Minnesota salary details

$8

$21

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How much do research assistant machine learning jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for research assistant machine learning in Minnesota is $21.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $24.95 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Minnesota? For Research Assistant Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Minnesota look for? The top searched job categories for Research Assistant Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Research Assistant Machine Learning jobs? Cities in Minnesota with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,633 per year, or $21.5 per hour.

Principal Engineer, AI and Machine Learning Software

Murata Americas

Saint Paul, MN • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Murata Vios is a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical-grade sensors and virtual patient care services, we plan to lower the cost of healthcare and improve patient outcomes. Murata Vios is seeking qualified individuals who contribute to our vision through sound product development engineering practices and passionate sales and marketing leadership.
Why Consider This Job Opportunity
Murata Vios is looking for a talented and motivated Principal Engineer specializing in AI and Machine Learning (ML). This role combines technical leadership with hands-on development, defining the technical direction for AI/ML technologies. The AI & MI Principal Engineer designs, develops, and deploys innovative algorithms that enhance our medical devices and improve patient outcomes. This position works alongside cross-functional teams to deliver impactful solutions while adhering to regulatory standards.
Workplace Policy
Hybrid from Woodbury, Minnesota
What To Expect (Essential Job Responsibilities)
  • Lead the architecture and design of scalable AI platforms and production of ML systems.
  • Provide technical leadership and mentorship to AI/ML engineers.
  • Lead technical reviews and make key architectural decisions for AI-enabled products.
  • Evaluate and introduce emerging AI technologies that provide competitive advantage.
  • Partner with product management, clinical teams, quality, regulatory affairs, and software engineering to define long-term AI/ML technology strategy and product roadmaps.
  • Collaborate with software engineers to integrate AI/ML models into existing software frameworks and ensure seamless operation of medical device systems.
  • Design and develop machine learning algorithms that analyze medical data (e.g., images, biosignals) to support diagnostic and predictive capabilities.
  • Design, develop, and deploy scalable AI/ML pipelines from research through production, ensuring reproducibility, reliability, and maintainability.
  • Develop and optimize deep learning models for biomedical signal, time-series, and medical image analysis.
  • Evaluate, validate, and optimize models for robustness, interpretability, and regulatory compliance.

Miscellaneous Job Responsibilities
  • Collect, preprocess, and analyze large biomedical datasets, ensuring data integrity and compliance with privacy regulations (e.g., HIPAA).
  • Optimize existing machine learning models for performance, accuracy, and efficiency; conduct testing and validation according to regulatory standards (e.g., ISO 13485).
  • Prepare technical documentation such as design specifications, testing protocols, and user manuals in compliance with medical device regulations.
  • Keep abreast of the latest advancements in AI/ML technologies and best practices as well as regulatory changes pertinent to the medical device industry.
  • Provide ongoing support and enhancements for deployed models and algorithms based on user feedback and performance monitoring.

What Is Required (Qualifications)
  • Ph.D. with 7+ years or Master's degree with 15+ years of relevant industry experience in computer science, Software Engineering, Machine Learning, Biomedical Engineering, or a related field.
  • Experience developing deep learning models using architectures such as CNNs, RNNs/LSTMs, transformers, and other modern techniques for biomedical signal, time-series, and medical image analysis.
  • Experience with MLOps practices, including experiment tracking, model versioning, CI/CD for machine learning, automated training pipelines, and monitoring model performance in production.
  • Experience deploying AI/ML models using cloud platforms and containerized technologies such as AWS, Azure, Docker, Kubernetes, ONNX, or TensorRT.
  • Knowledge of explainable AI (XAI), model interpretability, AI risk management, and validation practices for regulated healthcare and medical device applications.
  • Experience in digital signal processing (DSP), signal conditioning, feature extraction, time-series analysis, and statistical signal processing. Experience with wavelet analysis and frequency-domain techniques is preferred.
  • Experience with foundation models, large language models (LLMs), retrieval-augmented generation (RAG), or multimodal AI applications is a plus.
  • Proficiency in MATLAB, Linux, Python.
  • Experience with software engineering best practices, including object-oriented design, code reviews, unit and integration testing, version control (Git), and Agile development methodologies.
  • Knowledge of FDA regulations, ISO standards (e.g., ISO 13485), and compliance requirements applicable to medical devices.
  • Excellent problem-solving and communication skills with a strong analytical mindset.

Other
Minimum Salary: $140,967.00
Maximum Salary: $160,000.00
Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Create a better life for patients, clinicians, and hospital administrators by joining the Murata Vios team. Murata Vios offers competitive compensation and comprehensive benefits.
Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans

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