VP of Machine Learning – Medical Imaging AI | New York, NY

Are you a cutting-edge AI leader passionate about transforming healthcare through advanced technology? We are seeking a Vice President of Machine Learning to drive innovation in medical imaging at a pioneering AI healthcare company based in New York, NY. This is an exceptional opportunity to lead a high-impact machine learning team and shape the future of diagnostic imaging. If you thrive in a mission-driven environment and have a strong foundation in machine learning and computer vision, this role is for you.

Lead Innovation in Medical Imaging from the Heart of NYC

A leading medical AI company in New York, NY is looking for a Vice President of Machine Learning to head its efforts in revolutionizing diagnostic imaging. The ideal candidate will bring deep expertise in machine learning, especially in medical imaging and deep learning, along with strong leadership capabilities to mentor teams and drive scalable solutions. If you’re ready to translate AI research into real-world healthcare applications and improve patient outcomes, this is your opportunity to make a lasting difference.

Key Responsibilities of the VP of Machine Learning – Medical Imaging AI

Strategic AI Leadership:
Define and execute the long-term AI vision and roadmap for medical imaging innovation. Align research and development initiatives with company goals and industry advancements to position the organization as a leader in AI-powered diagnostics.

Advanced Algorithm Development:
Lead the design, development, and deployment of machine learning models, particularly in deep learning, computer vision, and image analysis. Drive innovation in algorithm accuracy, efficiency, and scalability across various medical imaging modalities (CT, MRI, X-ray, etc.).

Team Building & Technical Mentorship:
Recruit, mentor, and manage a high-performing team of machine learning engineers, data scientists, and research scientists. Foster a culture of innovation, collaboration, and continuous learning within the AI team.

Collaboration with Clinical & Product Teams:
Work closely with radiologists, clinicians, and product teams to understand clinical workflows and translate them into practical AI solutions. Ensure the seamless integration of ML models into real-world healthcare applications and platforms.

Data Strategy & Infrastructure:
Oversee data strategy, including data acquisition, labeling, preprocessing, and pipeline development. Ensure compliance with healthcare data regulations (HIPAA, FDA) while leveraging diverse datasets to improve model performance and generalizability.

Regulatory & Ethical AI Practices:
Collaborate with regulatory affairs to support model validation and FDA submissions. Implement ethical AI principles to ensure transparency, fairness, and explainability in all deployed models.

Cross-Functional Leadership:
Engage with executive leadership, engineering, and commercialization teams to drive go-to-market strategies for AI-driven products. Translate complex technical concepts into business insights to support strategic decision-making.

Research & Publication:
Stay abreast of the latest academic and industry developments in AI and medical imaging. Represent the company through publications, presentations, and participation in scientific conferences and industry events.

Performance Monitoring & Optimization:
Establish KPIs and metrics for ML model performance, deployment success, and clinical impact. Drive continuous model improvement through real-world feedback and data-driven optimization strategies.

Innovation & IP Development:
Drive the creation of proprietary AI technology and contribute to the company’s intellectual property portfolio through patents, publications, and novel algorithms that offer competitive advantages in the healthcare AI market.

What the Client is Looking for in You

As the VP of Machine Learning – Medical Imaging AI, the client is seeking a visionary technical leader with deep expertise in machine learning and a passion for transforming healthcare. You should be an accomplished innovator with a track record of delivering impactful AI solutions, particularly in the field of medical imaging. A blend of scientific excellence, team leadership, and strategic insight is essential for success in this role.

Proven Expertise in Medical Imaging and Machine Learning

The client is looking for a seasoned AI professional with strong experience in developing and deploying machine learning models for medical imaging. You should demonstrate a history of solving complex problems using deep learning, computer vision, and data science, ideally in a clinical or regulated environment. Familiarity with imaging modalities such as CT, MRI, and X-ray is a significant advantage.

Visionary Leader with Strategic and Technical Depth

You must bring a strategic mindset coupled with hands-on technical expertise. The ideal candidate will have experience crafting long-term AI strategies, overseeing research-to-product pipelines, and aligning innovation with business goals. The client values individuals who can translate complex ML solutions into tangible outcomes that improve patient care and diagnostic workflows.

Strong Background in AI Infrastructure and Deployment

The client seeks a candidate who understands not only how to build high-performance models but also how to scale them across robust data pipelines and cloud-based infrastructures. Experience with MLOps, model monitoring, and continuous integration/deployment in healthcare environments is highly desirable.

Proven Record of Team Leadership and Cross-Functional Collaboration

A key expectation is your ability to build and mentor a multidisciplinary team of engineers, data scientists, and researchers. You should be able to foster a collaborative culture that bridges the gap between clinical experts, product managers, and technical stakeholders to deliver real-world AI solutions.

Regulatory and Ethical AI Awareness

Given the healthcare setting, the client values experience working with FDA guidelines, HIPAA compliance, and ethical AI practices. You must demonstrate a strong commitment to patient safety, fairness, transparency, and explainability in AI models and decision-making tools.

Strong Communication and Stakeholder Engagement

The client is looking for a leader who can clearly articulate AI strategy and outcomes to executive teams, clinical partners, and investors. You should have the ability to convey complex concepts in a relatable way, build trust across the organization, and advocate for responsible AI innovation.

Commitment to Driving Impact and Continuous Innovation

Above all, the client seeks a leader who is motivated by purpose. You should have a relentless drive to push the boundaries of what’s possible with AI in healthcare, constantly pursuing innovation while ensuring clinical relevance, technical excellence, and real-world usability.

FAQs About the Role – VP of Machine Learning – Medical Imaging AI

1. What are the key responsibilities of the VP of Machine Learning in this role?
As the Vice President of Machine Learning, you will be responsible for leading the AI and machine learning strategy focused on medical imaging innovation. This includes developing and deploying advanced algorithms, managing a high-performing technical team, collaborating with clinical and product teams, ensuring regulatory compliance, and driving the integration of AI solutions into real-world healthcare systems. You’ll play a critical role in transforming diagnostic workflows and enhancing patient care through AI-powered insights.

2. What qualifications and experience are required for this position?
The ideal candidate should have extensive experience in machine learning, particularly in the areas of deep learning, computer vision, and medical imaging. A strong academic background (PhD or Master’s in Computer Science, Biomedical Engineering, or a related field) is preferred. Experience leading AI teams, working with healthcare data, and building FDA-compliant products is highly valued. Familiarity with cloud infrastructure, MLOps, and scalable AI pipelines is a plus.

3. What leadership qualities are essential for this role?
The client is looking for a strategic, visionary leader with deep technical expertise and excellent people-management skills. You should be able to inspire and mentor technical teams, collaborate across departments, and communicate complex concepts to both technical and non-technical stakeholders. Adaptability, innovation, and a patient-centric mindset are key attributes for success in this role.

4. What challenges can I expect in this role?
You may face challenges such as navigating complex healthcare regulations, ensuring model generalizability across diverse datasets, and integrating AI tools into clinical workflows. Balancing scientific innovation with practical, regulatory, and ethical constraints will be crucial. Additionally, scaling AI infrastructure and delivering measurable impact in real-world clinical environments will be ongoing priorities.

5. What is the expected impact of this role on the company’s growth and innovation?
As VP of Machine Learning, you will have a direct impact on shaping the company’s product offerings, accelerating time-to-market for AI solutions, and elevating its standing as a leader in medical imaging AI. Your contributions will help drive innovation, improve diagnostic accuracy, and support the company’s mission to enhance healthcare outcomes through technology.

6. What is the company’s culture and work environment like?
The company promotes a mission-driven, collaborative, and intellectually stimulating environment. It values innovation, accountability, and continuous learning. As a senior leader, you will be expected to foster a culture of excellence, ethical AI development, and cross-functional alignment while driving cutting-edge research into practical healthcare solutions.

What Remuneration Can You Expect from This Job?

As the Vice President of Machine Learning – Medical Imaging AI based in New York, NY, you can expect a comprehensive and competitive compensation package designed to attract elite AI and healthcare technology leaders. The remuneration for this role typically includes the following:

1. Base Salary
The base salary for a VP of Machine Learning in the healthcare AI space varies by company size, funding stage, and scope of responsibility. In well-funded mid-to-large-sized health tech or medtech firms, the annual base salary typically ranges from $250,000 to $400,000, with top-tier companies offering salaries above this range for exceptional candidates.

2. Performance-Based Bonuses
A significant component of your compensation will be tied to your ability to deliver results. Annual performance-based bonuses may be tied to milestones such as model accuracy improvements, regulatory approvals, clinical integration success, or AI-driven revenue growth. These bonuses typically range from 20% to 50% of the base salary, with potential to exceed that in high-growth companies.

3. Equity & Stock Options
Most roles at this level in tech-forward healthcare companies include substantial equity components. You can expect stock options or restricted stock units (RSUs) as part of the long-term incentive plan. Equity awards are designed to align your interests with the company’s success and can represent a significant portion of your total compensation, especially in high-growth or pre-IPO environments.

4. Long-Term Incentive Plans (LTIPs)
In some companies, you may be eligible for LTIPs based on multiyear strategic achievements such as new product launches, expansion into new markets, or advancements in AI regulatory compliance. These incentives reinforce long-term impact and stability.

5. Executive Benefits & Perks
As a senior executive, you will receive a suite of high-value benefits, which may include:

Premium health, dental, and vision insurance
401(k) plan with company match or executive retirement plans
Annual executive physicals and wellness stipends
Travel and relocation assistance (if applicable)
Learning & development budgets for technical conferences, journals, and continued education
Flexible hybrid or remote working arrangements (depending on the employer’s policy)

6. Signing Bonuses & Relocation Packages
For top candidates relocating to New York or transitioning from other sectors, companies may offer signing bonuses or relocation stipends, which can range from $25,000 to $150,000, depending on experience and urgency of hire.

Total Compensation Potential

When combining base salary, bonuses, equity, and other incentives, total compensation for the VP of Machine Learning role can range from $400,000 to over $1 million annually. In companies with strong equity growth or IPO trajectories, the long-term value of stock options can be a game-changer.

How to Apply

If you are a visionary machine learning expert and strategic leader with a passion for advancing healthcare through AI innovation, we encourage you to apply for the Vice President of Machine Learning – Medical Imaging AI position based in New York, NY. This is a rare opportunity to lead transformative AI initiatives that will shape the future of medical diagnostics and patient care.

To apply, please submit your resume and a cover letter highlighting your experience in developing machine learning models, leading high-impact AI teams, and deploying advanced imaging solutions in clinical or healthcare settings. Emphasize your expertise in deep learning, medical imaging, regulatory compliance, and cross-functional leadership.

This executive role offers a career-defining opportunity to lead AI innovation at the intersection of technology and medicine. You will drive clinical impact, help shape product strategy, and work alongside industry-leading researchers, engineers, and healthcare partners. Apply today to take the next step in your career as a VP of Machine Learning – Medical Imaging AI in New York, NY!

For more information or to explore similar executive AI roles, visit our AI-Powered Medical Devices Executive Search Consultants page.

Job Category: Medical Imaging AI

Job Type: Full Time

Job Location: New York

VP of Machine Learning – Medical Imaging AI | New York, NY