About us:

VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increase operating efficiencies, and improved patient understanding.

About the position:

We are looking for a Machine Learning Engineering Manager to join our team and execute on ambitious milestones and influence our product direction. In this role you will own the day to day execution of the ML team. In the design and implementation of infrastructure for reliable and highly performant machine learning and analytics pipelines. The team has a diverse set of ML problems including detection and classification of dental conditions from medical images and the application of other state of the art ML to our problem domain. 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 Engineering Manager 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.

We are looking for someone based in Boston or New York City.

Requirements

• 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

• 2+ years of people/team management experience with demonstrated leading by example ability to make your team stronger

• Excellent strategic communication and collaboration skills

• Broad ML experience across natural language understanding and computer vision

• Exceptional Python development skills, including experience in CI/CD and on GitHub

• Experience applying business context to drive effective decision-making in data science problems

Preferred

• Experience managing or leading a team through complex projects

• 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 We Offer

• Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us

• Competitive pay, equity and benefits.

• Agile organization where being senior translates to being a mentor and role model for others.

• We lead by example.Technical challenges on the leading edge of innovation where software and machine learning

Dont meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on level of experience.

VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

VideaHealth is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.

If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!