AI/ML Computer Vision Lead (Medical Devices)

Location: Marlborough, Massachusetts, United States; standard office and laboratory environment with occasional work around medical device prototypes and imaging equipment. Travel: Up to 15% domestic and international travel.

Annual base salary: $128,200–$200,500, plus bonus eligibility.

Company

hirify.global develops medical device and imaging solutions, including platforms for gynecological surgical procedures.

What you will do

• Identify, assess, and prioritize AI and computer vision opportunities across GYN surgical capital platforms, ultrasound-guided fibroid ablation systems, hysteroscopy consoles, and imaging systems.
• Translate clinical and workflow needs into technical problem statements with measurable success criteria.
• Evaluate external AI, imaging, and data partners; manage proof-of-concepts, milestones, deliverables, escalations, and vendor relationships.
• Coordinate with Business Development, Legal, Procurement, R&D, Clinical, Regulatory Affairs, Quality, Marketing, and Engineering teams.
• Define training, validation, and test dataset requirements, including data sourcing, annotation, and governance.
• Guide regulatory and product integration activities for AI-enabled features and present recommendations to divisional leadership and steering committees.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related technical field.
• At least 8 years of engineering experience in medical devices, medical imaging, or another FDA-regulated industry.
• At least 3 years of direct experience developing, evaluating, or integrating AI or computer vision technologies.
• Experience managing external technology vendors or development partners through evaluation, contracting, and delivery.
• Experience with design controls, FDA regulatory pathways such as 510(k) and De Novo, and presenting technical recommendations to senior leadership.
• Technical depth in machine learning and computer vision, plus knowledge of risk management, software lifecycle, and cybersecurity processes.

Nice to have

• Master’s degree or PhD in a relevant technical field.
• Experience with ultrasound, endoscopy, intra-procedural imaging, or real-time embedded imaging architectures.
• Involvement in regulatory submissions for AI- or ML-enabled device features.
• Experience with clinical data collection, annotation workflows, and dataset management.
• Knowledge of IEC 62304, ISO 14971, IEC 60601, and FDA Good Machine Learning Practice principles.

Culture & Benefits

• Comprehensive onboarding, continued professional development, and training throughout the career.
• Competitive salary and annual bonus eligibility.
• Opportunity to work across engineering, clinical, regulatory, quality, marketing, and business functions.
• Work includes office, laboratory, partner-site, clinical-location, and industry-event environments.