1

Vice President Machine Learning Jobs (NOW HIRING)

VP, Algorithm - AI

Irvine, CA ยท On-site

$254K - $320K/yr

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

VP, Algorithm - AI

Irvine, CA ยท On-site

$254K - $320K/yr

The VP, Algorithm - AI is responsible for leading the strategy, development, and execution of ... Drive innovation in machine learning, signal processing, and modeling to advance Masimo ...

Applied AI ML Engineer-Vice President

Manhattan, NY ยท On-site

$198K - $255K/yr

Applied AI ML Engineer-Vice President The Corporate & Investment Bank is a global leader across ... Develop and implement machine learning models and algorithms to solve complex operational ...

Applied AI ML Engineer-Vice President The Corporate & Investment Bank is a global leader across ... Develop and implement machine learning models and algorithms to solve complex operational ...

We are seeking a strategic and hands-on Vice President, Applied Data & Analytics to lead the design ... Advanced Analytics & Machine Learning * Oversee development and deployment of predictive and ...

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Bring demonstrated experience building or evolving products that leverage AI, machine learning, or ...

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Bring demonstrated experience building or evolving products that leverage AI, machine learning, or ...

next page

Showing results 1-20

Vice President Machine Learning information

See salary details

$35.5K

$114.7K

$181.5K

How much do vice president machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for vice president machine learning in the United States is $114,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What does a Vice President of Machine Learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are some common challenges faced by a Vice President of Machine Learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What cities are hiring for Vice President Machine Learning jobs? Cities with the most Vice President Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Vice President Machine Learning jobs? States with the most job openings for Vice President Machine Learning jobs include:
Infographic showing various Vice President Machine Learning job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $114,728 per year, or $55.2 per hour.
VP, Algorithm - AI

VP, Algorithm - AI

Masimo

Irvine, CA โ€ข On-site

$254K - $320K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 hours ago


Job description

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

Minimum Qualifications:

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

  • 5+ years of leadership experience managing technical teamsย 

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

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

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

  • Demonstrated ability to define and execute technical strategyย 

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

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

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

Preferred Qualifications:

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

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

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

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

  • 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:ย 

  • 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:ย 

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. Masimo offers benefits such as Medical, Dental, Vision, Life/AD&D, Disability Insurance, 401(k), Vacation, Sick, Holiday, Paid Maternity Leave, Flexible Spending Accounts, voluntary Accident, Critical Illness, Hospital, Long-Term Care, Employee Assistance Program, Pet Insurance, on-site Wellness Clinic, Fitness Center, Cafe. All benefits are subject to eligibility requirements.

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. ย Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.


Masimo logo

About Masimo

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1989

Social media