Machine Learning Tech Lead, VideaHealth

$100-200k

+ Equity

AWS
Python
PyTorch
Keras
Senior and Expert level
Remote in US
Boston
VideaHealth

Detecting pathologies in dental imaging through AI software

Open for applications

VideaHealth

Detecting pathologies in dental imaging through AI software

21-100 employees

HealthcareB2BArtificial IntelligenceDeep TechMachine LearningSaaSDentistryMedTech

Open for applications

$100-200k

+ Equity

AWS
Python
PyTorch
Keras
Senior and Expert level
Remote in US
Boston

21-100 employees

HealthcareB2BArtificial IntelligenceDeep TechMachine LearningSaaSDentistryMedTech

Company mission

To improve the lives of billions of people around the globe by bringing Artificial Intelligence powered solutions to the world of dentistry.

Role

Who you are

  • M.S. or PhD in Computer Science, Machine Learning or related field
  • 7+ years of hands-on development building deep learning and/or data pipelines
  • Leadership or mentorship experience
  • Excellent strategic communication and collaboration skills
  • Exceptional Python development skills
  • Extensive experience with at least one deep learning framework (e.g. PyTorch, TF, Keras), including experience customizing these frameworks to meet the bespoke needs of particular problems
  • Experience working with cloud based platforms / providers (e.g. AWS)
  • Experience applying business context to drive effective decision-making in data science problems
  • We are looking for an individual with an exceptional Machine Learning background and track record of proven delivery who is not shy to take on extensive responsibilities and lead the team through complex technical problems
  • You will be able to contribute and grow your technical and leadership skills by building end to end highly impactful software medical devices that impact the lives of millions of people

Desirable

  • Experience managing or leading a team through complex projects
  • Desire to enhance your people management and leadership skills
  • Publications or blog posts displaying excellent writing on data science or machine learning topics
  • Experience in reading & implementing technical research papers
  • Familiarity with healthtech industry

What the job involves

  • We are looking for a Machine Learning Technical Lead to join us and execute on ambitious milestones and influence our product direction
  • In this role you will own the design and implementation of infrastructure for reliable and highly performant deep learning and analytics pipelines
  • The main focus is on detection and classification of dental conditions from medical images but AI expertise beyond computer vision is a plus
  • You will play a critical role in defining and executing processes for managing large amounts of data and for performing effective evaluations of the clinical efficacy of our algorithms
  • In your role as ML Tech Lead you will become part of exciting collaborations with researchers, physicians, and regulatory bodies
  • You will collaborate with company advisors from MIT and Harvard whose expertise span machine learning, medical imaging, and getting products successfully through FDA
  • We are looking for an individual with an exceptional Machine Learning background and track record of proven delivery who is not shy to take on extensive responsibilities and lead the team through complex technical problems
  • You will be able to contribute and grow your technical and leadership skills by building end to end highly impactful software medical devices that impact the lives of millions of people
  • Your contributions will play a key role in building a great company from an early stage

Our take

Dentistry practices have remained relatively unchanged over the past 30 years as the field has shown an active bias against AI-powered technology. VideaHealth is disrupting the market, providing greater transparency to dentists, insurers, and patients through its cavity-detecting AI-powered software.

The company recently gained FDA clearance, after an FDA trial showed that dentists using VideaHealth’s AI experienced a 43% reduction in missed cavities and a 15% reduction in inaccurate cavity detection: unlocking the most economic health value through more immediate (and appropriate) dental treatment recommendations.

The company finds strong competitors in fellow dental AI companies Overjet and Pearl. VideaHealth will need to focus on further developing its AI diagnostic abilities as it aims for expansion across the US and Canada. The company’s impressive list of investors, and strategic partnerships with leading DSOs, have it well-placed to support millions of patients as it aims to be the overall leader in dental AI solutions.

Kirsty headshot

Kirsty

Company Specialist

Insights

Some candidates hear
back within 2 weeks

110% employee growth in 12 months

Company

Company benefits

  • Opportunities for Growth
  • Equity Options

Company values

  • Move Health Forward - We are determined to make a tangible difference in health care. We strive to touch as many lives, in a positive way, as possible!
  • Collaborate - We embrace collaboration, among colleagues, partners, and practitioners. It is having each other's back that we will flourish and thrive
  • Think Rigorously - We apply the highest standards to all of our work. Measure twice, cut once - move fast, but always step back and reflect carefully
  • Grow - We view our mistakes as opportunities for improvement. We test, we validate, and we improve. Constantly
  • Build Community - Given how much we all need to learn, we seek input from and collaborate with out clients and partners of driving performance and breakthroughs

Company HQ

Leather District, Boston, MA

Leadership

Current Startup Mentor and Guest Speaker at Massachusetts Institute of Technology (MIT), and Visiting Research Fellow and Guest Speaker at Harvard Business School. Co-Funder of ninu GbR. Former Research Assistant at Broad Institute, Summer Associate at McKinsey & Company, and was an Associate Manager at FOUNDER.org.

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