Machine Learning Scientist
Technology – AI
We create technology with heart for the health of every person in the world.
About Buoy Health
Buoy builds a digital health tool that helps people – from the moment they get sick – start their health care on the right foot. Started by a team of doctors and computer scientists working at the Harvard Innovation Laboratory in Boston MA, Buoy was developed in direct response to the downward spiral we’ve all faced when we attempt to self-diagnose our symptoms online. Buoy leverages artificial intelligence – powered by advanced machine learning and proprietary granular data - to resemble an exchange you would have with your favorite doctor – to provide consumers with a real-time, accurate analysis of their symptoms and help them easily and quickly embark on the right path to getting better. Buoy is based in Boston and was founded in 2014.
About the role
As a machine learning scientist, your core responsibility is to develop intelligent solutions to improve the accuracy and efficacy of Buoy's AI. You will work closely with clinician researchers and data scientists and adequately address people’s insights with mathematical formulations in Buoy’s system. You will transform data, prototype models from scratch, experiment with different approaches, and eventually productionize end-to-end machine learning system. You will have the system provide explanation to prediction results and interpret model’s behavior to different teams across the company. To be successful, you not only will contribute your expertise in real-world machine learning applications, but must have a keen interest in helping people make better decisions about their health.
-- Collaborate with data scientists to develop novel, scalable machine learning solutions for challenging problems
-- Translate abstract human concepts into machine digestible mathematical formulation and vise versa
-- Creatively use existing data, as well as frequently integrate new data, for feature engineering and to build more predictive, accurate, and insightful models
-- Deploy, monitor, and maintain machine learning systems in a production environment
-- Spot new machine learning opportunities to expand product capabilities
-- BS in Computer Science, Statistics, or related
-- Programming experience in Python, C/C++ or Java (3+ years)
-- Software development experience (2+ years)
-- Familiarity with various machine learning methods
-- Good understanding of feature engineering, feature selection, and practical machine learning issues (e.g. overfitting, algorithmic bias, etc.)
-- Good understanding of models’ interpretability and explainabilityGood written, spoken, and visual communication skills
Bonus points if you have
-- Graduate degree in Computer Science, Statistics, or related
-- Expertise in one or more of the following: graphical models, sampling, recommendation systems, natural language understanding or similar
-- Experience building and productionizing end-to-end machine learning system
-- Experience in one of the following fields: personalization, consumer behavior, human-computer interaction, healthcare
-- Contribution to research communities and/or efforts, including publishing papers at conferences
-- Healthcare, Dental, Vision
-- Simple IRA with matching
-- Unlimited PTO (and we actually take vacation)
-- Dogs in the office!