Masimo

VP, Algorithm - AI

Masimo  •  $254k - $320k/yr  •  Irvine, CA (Onsite)  •  1 month ago
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Job Description

The VP, Algorithm – AI is responsible for leading the strategy, development, and execution of advanced algorithm capabilities across Masimo’s product portfolio, with a focus on artificial intelligence, machine learning, and signal processing. This role provides functional leadership for algorithm development to drive innovation and clinical impact. The VP will lead a team of algorithm engineers, shape the technical roadmap, and ensure alignment with business priorities, regulatory requirements, and next-generation product development.

Duties & Responsibilities:

  • Lead and develop a high-performing algorithm engineering team, including AI and machine learning capabilities
  • Define and execute the strategy and roadmap for AI-driven algorithm development aligned with product, business, and customer needs
  • Drive innovation in machine learning, signal processing, and modeling to advance Masimo’s monitoring technologies
  • Oversee the design, development, validation, and implementation of algorithms supporting product performance and clinical utility
  • Partner cross-functionally with Software Engineering, Product Development, Clinical, Regulatory, and Quality teams to deliver integrated, compliant solutions
  • Establish best practices, frameworks, and standards for AI/ML and algorithm development, including validation and lifecycle management in regulated environments
  • Ensure alignment of algorithm development with regulatory expectations, including FDA and global compliance standards for AI-enabled technologies
  • Translate complex technical and AI-driven concepts into clear business and clinical impact for stakeholders
  • Drive continuous improvement in tools, infrastructure, and methodologies supporting algorithm and AI development (e.g., model development workflows, data pipelines, governance)
  • Align team priorities, resources, and deliverables to meet organizational goals and product timelines
  • Provide leadership on complex, ambiguous technical challenges requiring deep expertise in AI, algorithm development, and product application
  • Perform other responsibilities as assigned

Minimum Qualifications:

  • 12+ years of experience in algorithm development, data science, AI/ML, signal processing, or related engineering fields

  • 5+ years of leadership experience managing technical teams

  • Deep expertise in machine learning, algorithm development, signal processing, and/or modeling

  • Experience applying AI/ML and advanced algorithms in regulated environments, ideally within medical devices or healthcare

  • Experience with data analysis, model development, and validation methodologies

  • Demonstrated ability to define and execute technical strategy

  • Strong experience working cross-functionally with Clinical, Regulatory, Quality, and Product Development teams

  • Strong communication and leadership skills, with the ability to influence stakeholders and translate complex concepts clearly

  • Ability to work onsite Monday - Friday in Irvine, CA

Preferred Qualifications:

  • Experience in medical device technologies, noninvasive monitoring, or physiological signal interpretation

  • Advanced degree (M.S. or Ph.D.) in Biomedical Engineering, Electrical Engineering, Computer Science, or related field

  • Track record of innovation, including publications, patents, or industry recognition in AI or algorithm development

  • Experience building and scaling AI/ML capabilities, tools, and infrastructure

  • Experience working in complex, matrixed organizations

Education:

Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Science, or related field required; advanced degree preferred.

Language requirements:

  • Ability to read, write, and communicate effectively in English
  • Ability to interpret technical documents, schematics, and written instructions
  • Ability to clearly document technical findings and communicate with cross-functional team members

Compensation:

The anticipated salary range for this position is $254,000 - $320k plus benefits. Actual placement within this range is dependent on multiple factors, including but not limited to skills, education, and experience. This position also qualifies for up to 30% annual bonus based on company, department, and individual performance.

Physical requirements/Work Environment:

This position primarily works in an office environment and requires frequent sitting, standing, and walking. Daily use of a computer and other digital devices is required. This role may require standing for extended periods when facilitating meetings or walking through facilities.

The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.

Masimo

About Masimo

Masimo (NASDAQ: MASI) is a global medical technology company that develops and manufactures innovative noninvasive patient monitoring technologies, including medical devices and a wide array of sensors. Our work is making a measurable difference in the world by saving, extending and improving the lives of people of all ages, in all walks of life

For more than 30 years, our innovative medical technologies and noninvasive patient monitoring solutions have been solving ‘unsolvable’ problems. The result is a portfolio of clinically-proven products that lead the way in innovation, performance and patient safety by giving health care providers the information they need to optimize clinical decision-making.

Masimo is for‘what-ifers’, ‘never-say-never-ers’, and ‘world changers’—people who look beyond what others see. We're looking for people who can, do, and will make a difference.

We think you'll like what you see.

Industry
Manufacturing & Production
Company Size
1,001-5,000 employees
Headquarters
Irvine, CA
Year Founded
Unknown
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