Principal Engineer, AI and Machine Learning Software

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.

Hybrid from Woodbury, Minnesota

• 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.

• 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.

• 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.

• 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.