The Role:

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 an early contributor Staff Machine Learning Scientist to own and execute on the ML vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, increase healthcare access for our patients, while keeping patients engaged in their care and improving their health outcomes!

What you’ll do:

• Partner with senior leaders to define the organizational machine learning roadmap, and find opportunities to improve care and operations with ML-driven solutions
• Own the planning, development, and impact assessment of ML initiatives and be hands on in building ML models using text, image, and structured data
• Collaborate with product and operations teams to integrate ML models into clinical and operational workflows
• Work closely with engineering and infrastructure teams to develop robust and scalable MLOps practices
• Mentor, and provide technical guidance for an early ML team of scientists and engineers
• Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces

You should have:

• 7+ years of applied ML experience in an e-commerce or healthcare setting
• Strong communication and experience working with multi-functional engineering, product, and operations teams
• Deep knowledge of the fundamentals of traditional machine learning and deep learning
• Experience training, deploying and serving ML models in a cloud environment (AWS preferred)
• Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras)
• MS/PhD in computer science, statistics or another quantitative field preferred, but not required