We believe that intelligent technology working alongside outstanding care providers is key to delivering timely, quality and affordable healthcare to patients with complex chronic conditions. We’re looking for a motivated senior machine learning scientist to join our growing machine learning team to deliver on that vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, improve healthcare access, keep patients engaged in their care, and improve their health outcomes as part of our mission to reinvent healthcare.

What you’ll do:

• Work with clinical and operational partners to define how ML can help clinicians and patients make better decisions and expand access to care and improve health outcomes
• Collaborate with fellow scientists, product managers and engineers to develop and deploy ML systems within clinical and operational workflows
• Own projects end-to-end from scoping to data gathering, feature engineering, model development, deployment and performance monitoring
• Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces

You should have:

• MS/PhD in computer science, statistics or another quantitative field
• 5+ years of applied machine learning experience in an e-commerce or healthcare setting
• Deep knowledge of the fundamentals of traditional machine learning and deep learning
• Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras)
• Experience training and deploying models in a cloud computing environment
• Ability to communicate machine learning concepts to non-technical audiences