About Machine Learning at Livongo
The machine learning effort is part of the Data Science team at Livongo and works closely with product managers, engineering to conceive, ship and maintain machine learning models and pipelines to help support our members manage their chronic conditions.
This is an opportunity to use technical rigor to apply machine learning to real-world business problems, and engineer, deploy, measure and iterate ML in production, for every Livongo member.
Livongo today is the leading applied health signals company with over 700+ enterprise customers and leading national health plans. This role is focused on helping us understand our members and contributing to our applied health signals pipeline that supports different types of data streams for our products and clinical services.
Explore and identify new types of signals and models to better understand our members using data from diverse sources - range of signals include hardware and mobile sensor data, audio and text data, clinical and pharmacy data.
Apply ML approaches and algorithms to pragmatically explore new types of applied health signals and scale these approaches.
Use Python, Tensorflow / PyTorch / CNTK / Keras to run exploratory analyses using both traditional and deep-learning techniques to validate new types of datasets and signals. This includes feature engineering, unsupervised learning, supervised learning, reinforcement learning.
Build, deploy and maintain production grade machine learning code and pipelines. Measure the performance of deployed models and propose improvements, and iterate to improve performance.
Partner closely with clinical leadership, product management and engineering. Over time, build a team of machine learning experts, data scientists and data engineers and help scale.
Manage a team of machine learning experts.
PhD in Machine Learning, Engineering, Computer Science, or related degree
Self-driven person, with a proven track record using machine learning to solve challenging business, technical and data engineering problems.
Excellent people management skills - experience building a team of machine learning experts. Ability to collaborate effectively with peers, and respect for member privacy
Expertise in machine learning theory, as well as practical tricks for working with and delivering machine learning models.
Experience with applications in healthcare, NLP and time-series analysis a plus/ else willing to learn.
Depth of experience in Python, Tensorflow and at least one of the following: Spark, SQL, and/or Hadoop.
Experience designing and building useful, maintainable code for model training, evaluation and interpretation
Familiarity with the entire ML algorithm life-cycle (modeling approach ideation, data exploration, training, evaluation, tuning).
Pragmatic ability to balance prototyping with incremental cleanup and refactoring along the way.
Willingness to learn new platforms and tools, as well as propose and help teams adopt new tools.
Great active listening skills to infer product needs and underlying context.
Why Join Livongo?
The Transformative Name in Healthcare: The transformative industry forces in Community, Content and Commerce are now household names. As Amazon is to Commerce, Livongo is to Healthcare. With our Applied Health Signals engine, AI+AI, we've transformed how care is delivered.
Our Work Truly Matters: Livongo's proprietary, consumer-first technology is revolutionizing the experience of living with a chronic health condition. Our data-driven digital health engine enables our Members to seamlessly manage multiple health conditions on one empowering platform. We use smart, connected devices, personalized digital guidance, and 24x7x365 access to health professionals to make it easier for people to stay healthier.
Make an Impact: Do you want to accomplish something meaningful? To create results that matter? Livongo's innovative solution produces industry-leading member satisfaction, measurable clinical outcomes and proven healthcare costs savings. Here you can truly improve lives.
The Largest Digital Health IPO in History: We are at a milestone period in our history. On July 25, 2019 we took our company public, in order to elevate and expand the way the industry views us, thus ushering us into a whole new set of mission-critical conversations that will help us accomplish the work still to be done. As we reach new levels of achievement, we accelerate our ability to deliver life-changing services.
Focus on PEOPLE: Livongo has been voted one of the Best Places to Work in healthcare, by Fortune Magazine and Best Place to Work! Talented, passionate individuals make the difference, in this fast-moving, collaborative and inspiring environment.
Diversity and Inclusion: At Livongo we believe that personal and professional diversity is the key to innovation. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position.
Growth and Innovation: We've already made healthcare history, yet we remain on the threshold of very big things. Leading the industry with our Applied Health Signals category, we have cracked the code to transforming healthcare. Come grow with us and support our mission to make a tangible difference in the lives of our Members.
See photos, watch videos and learn more about Livongo: follow us on Glassdoor.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy (including breastfeeding - we have a mother's room in both our offices). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Livongo Health, Inc.