Director of AI – Computer Vision
Job Description:
• Lead our computer vision efforts focused on care and safety in senior living environments
• Build and operate AI systems that run in production, at scale, and in real-world conditions
• Manage a team of researchers and engineers, guide technical direction
• Partner with Product team to align AI capabilities with customer and care requirements
• Work with Hardware and Systems teams on camera capabilities, sensor constraints, and edge inference considerations
• Collaborate with Cloud and Platform teams to support scalable, observable AI services
• Communicate clearly with leadership on progress, risks, and technical tradeoffs
• Own the definition and prioritization of AI capabilities in partnership with Product, Clinical, and Operations teams
• Coordinate work across AI, Product, Hardware, Cloud, and Data teams to ensure dependencies are understood and addressed early
• Lead teams in moving work from research and prototyping into stable, production-ready services
• Manage and grow a team of AI researchers, applied ML scientists, and engineers
Requirements:
• Proven experience building and deploying computer vision or machine learning systems in production environments
• Experience leading teams that include both researchers and engineers
• Deep understanding of modern deep learning approaches and applied ML workflows
• Demonstrated ownership of large datasets and the processes around labeling, quality, and iteration
• Experience with edge or embedded inference (preferred)
• Background in healthcare, safety-critical systems, or other regulated environments (preferred)
• Familiarity with human activity recognition, video analytics, or behavior modeling at scale (preferred)
• Experience operating AI systems over long time horizons, with ongoing performance monitoring and improvement (preferred)
Benefits:
• Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision
• 401k Program
• Monthly Education, Well-being & WFH stipends
• Non-accrual PTO
• Growth Potential
• Company Retreats
• Medical & Family/Parental Leave
Apply tot his job
Apply To this Job
• Lead our computer vision efforts focused on care and safety in senior living environments
• Build and operate AI systems that run in production, at scale, and in real-world conditions
• Manage a team of researchers and engineers, guide technical direction
• Partner with Product team to align AI capabilities with customer and care requirements
• Work with Hardware and Systems teams on camera capabilities, sensor constraints, and edge inference considerations
• Collaborate with Cloud and Platform teams to support scalable, observable AI services
• Communicate clearly with leadership on progress, risks, and technical tradeoffs
• Own the definition and prioritization of AI capabilities in partnership with Product, Clinical, and Operations teams
• Coordinate work across AI, Product, Hardware, Cloud, and Data teams to ensure dependencies are understood and addressed early
• Lead teams in moving work from research and prototyping into stable, production-ready services
• Manage and grow a team of AI researchers, applied ML scientists, and engineers
Requirements:
• Proven experience building and deploying computer vision or machine learning systems in production environments
• Experience leading teams that include both researchers and engineers
• Deep understanding of modern deep learning approaches and applied ML workflows
• Demonstrated ownership of large datasets and the processes around labeling, quality, and iteration
• Experience with edge or embedded inference (preferred)
• Background in healthcare, safety-critical systems, or other regulated environments (preferred)
• Familiarity with human activity recognition, video analytics, or behavior modeling at scale (preferred)
• Experience operating AI systems over long time horizons, with ongoing performance monitoring and improvement (preferred)
Benefits:
• Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision
• 401k Program
• Monthly Education, Well-being & WFH stipends
• Non-accrual PTO
• Growth Potential
• Company Retreats
• Medical & Family/Parental Leave
Apply tot his job
Apply To this Job