VP, Algorithm - AI

Job Summary:

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 require