Memora Health has worked with over 50 healthcare organizations to make complex care journeys simple for patients and clinicians so that care is more accessible, actionable, and always-on. Our team is rapidly growing as we expand our programs to reach more health systems and patients, and we are excited to bring on a Machine Learning/NLP Engineer. You should not only be driven by the problem we are solving but also by the innovative approach and technology that we are applying to healthcare.

Primary Responsibilities:

• Work on our conversational AI infrastructure, including our question answering pipeline and data collection/feedback process

• Work with a unique dataset of 100M+ patient interactions, structured conversations, and natural / unstructured data sources

• Develop new models to solve existing subproblems within our pipeline and work with backend engineers to integrate your models into production

• Work closely with internal teams to understand product pain points and identify, prioritize, and implement solutions

Qualifications (Required):

• B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience

• Proficiency in Python and in frameworks like tensorflow, pytorch or keras

• Experience in modern Deep Learning and Natural Language Processing 

• Experience building production-ready NLP systems

• Ability to scope work and operate independently

• Motivated by complex problems

Qualifications (Bonus):

• Experience with Flask, Docker and Kubernetes

• Prior startup experience

What You Get:

• Improve the way care is delivered for thousands of patients by shaping how healthcare organizations approach patient outreach and engagement

• Work at a high-growth, venture-backed health tech company

• Build and scale Memora alongside a world-class team

• Competitive salary and equity compensation

• Benefits including medical, dental, and vision coverage, and a 401(k) plan

• Fully paid parental leave

• Unlimited PTO and 10 paid company holidays

• Remote-friendly workforce with bi-annual retreats