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Machine Learning Manager Jobs in Wayzata, MN (NOW HIRING)

KURT

Machinist Intern

Minneapolis, MN · On-site

$21 - $22/hr

Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as ... Detect and report defective materials or questionable conditions to management or engineers.

kurt

Machinist Intern

Minneapolis, MN · On-site

$21 - $22/hr

Load parts in the machine, cycle machine and detect malfunctions in machine operations, such as ... Detect and report defective materials or questionable conditions to management or engineers.

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

Hybrid onsite Tuesday Wednesday and Thursday Data Scientist / Machine Learning Engineer Position ... and lifecycle management. Experience integrating analytical models into APIs, applications ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Wayzata, MN

Machine Learning Manager information

See Wayzata, MN salary details

$51.7K

$82.8K

$119.5K

How much do machine learning manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning manager in Wayzata, MN is $82,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $93,700.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What cities near Wayzata, MN are hiring for Machine Learning Manager jobs?

Cities near Wayzata, MN with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Wayzata, MN as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $82,757 per year, or $39.8 per hour.

Principal Engineer, AI and Machine Learning Software

Murata America

Saint Paul, MN • On-site, Remote

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 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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