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    Staff Machine Learning Engineer - Boston, United States - VideaHealth

    VideaHealth
    VideaHealth Boston, United States

    3 weeks ago

    Default job background
    Description
    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 Staff ML Engineer to join our team to 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 Staff ML Engineer 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. You will be able to contribute and grow your technical 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.

    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
    • 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
    • Strategic communication and collaboration skills
    • Proactive, ambitious, and fast learner
    • Leadership or mentorship experience

    Preferred

    • Proven track record of high quality software development (e.g. on GitHub)
    • 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 at a staff level 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
    VideaHealth is supported by some of the best investors in the world, having raised over $27M 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
    Pay Range: $85,000 - $200,000
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