
Artificial Intelligence • Healthcare Insurance • Biotechnology
Bayesian Health is a healthcare technology company that focuses on transforming healthcare data into actionable clinical insights through its adaptive AI platform. The platform enables Intelligent Care Augmentation, allowing caregivers to deliver proactive and higher quality care, ultimately resulting in improved patient health outcomes. With a foundation of extensive research in the field, Bayesian Health aims to empower physicians and care teams with real-time data to enhance decision-making and save lives.
February 4

Artificial Intelligence • Healthcare Insurance • Biotechnology
Bayesian Health is a healthcare technology company that focuses on transforming healthcare data into actionable clinical insights through its adaptive AI platform. The platform enables Intelligent Care Augmentation, allowing caregivers to deliver proactive and higher quality care, ultimately resulting in improved patient health outcomes. With a foundation of extensive research in the field, Bayesian Health aims to empower physicians and care teams with real-time data to enhance decision-making and save lives.
• We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives. • Part Data Scientist, part Applied Scientist, and part MLE – someone who wants to own the end-to-end effectiveness of their real-time models in a live, clinical AI product. • Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with insights to make the right decision for the right patient at the point-of-care. • Our company has won many awards; recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. • As a Staff Machine Learning Engineer, you want to own the effectiveness of your model in the real world.
• Ph.D. in a relevant field plus 3+ years relevant experience, or a relevant Master’s degree and 5+ years experience shipping ML based software products. • Experience owning your ML models from prototyping to production. • Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems. • Experience using MLOps tools such as SageMaker and MLFlow.
Apply NowJanuary 29
Director of Machine Learning at Runway, focusing on dataset engineering and data strategies.
🇺🇸 United States – Remote
💵 $400k - $490k / year
💰 $50M Series C on 2022-12
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
January 28
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Python