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Machine Learning EngineerPalo Alto, California, United States

Machine Learning Engineer

Palo Alto | California | United States

Are you excited by an opportunity to use your Artificial Intelligence and Machine Learning skills to enable billions around the world lead healthier, happier, longer lives! If so, we have a once in a lifetime opportunity for you! HealthTap is bringing together the rockstar talent to build a best in class AI team in digital health. Right now, we're looking for a top-notch AI/Machine Learning Engineer to bring virtual care to billions of people globally safely and securely.
About HealthTap
HealthTap, a World Economic Forum Technology Pioneer, is the world's first Global Health Practice delivering immediate, world-class healthcare 24/7 from query-to-cure. Through video, voice, and text chat on any mobile device or personal computer, we connect hundreds of millions of people in 174 countries with the most trusted and compassionate health advice from a network of more than 107,000 top doctors.

How does that work?
You can search the world's largest library (6 billion answers served) of peer-reviewed doctor knowledge for any health topic
Or ask help from Dr. AITM, our virtual "physician" who translates your symptoms into personalized, doctor-recommended insights and best course of action-trained by HealthTap's doctor network
And if needed, connect with a doctor for a live virtual consult through voice, video, or text-and get prescriptions, labs tests, and referrals afterwards

HealthTap's proprietary, robust, and secure Health Operating System (HOPES™) and proprietary triaging technology, powered by Artificial Intelligence, enable hospital systems, insurance companies, employers and governments worldwide to deliver the right care at the right time at the right cost.

We generate significant revenues and are funded by some of the world's most reputable investors. What's the opportunity? As a senior member of the Dr. AI team, you'll have resources, autonomy, and the support of other A-players to scale and grow the next generation of the HOPES™ platform and the millions of active patients and doctors on it.

Some of the exciting responsibilities include:
Provide leadership and strategic direction for the design, organization and expansion of HealthTap's knowledge representations
Discover and refine medical relationships from the ever-expanding repository of medical data
Integrate feedback from expert evaluations on the performance of Dr. AI
Ensure the completeness and accuracy of the medical knowledge-bases on HealthTap
Refine and improve the knowledge-based reasoning algorithms in Dr. AI
Create new algorithms that drive intelligent interactions among members and experts (patients and doctors) on HealthTap.
Collaborate with the Health Informatics Director to incorporate improvements in the underlying consumer and professional health ontologies.

Need to have
You're passionate about making the world a happier, healthier place
You have formal training and experience in machine learning, AI algorithms, and knowledgebase systems. Ideally, you also have experience with medical data and terminologies.
You have a Ph.D. or Masters in Computer Science, Engineering or related field
You have 3+ years of experience in developing production-quality machine learning or AI software
You have excellent coding skills in one or more of Java, Python, Ruby, and Scala
You have expert-level knowledge of statistical topics such as Bayesian Modeling, Multivariate Regression, Logistic Regression, Cluster Analysis, Decision Analysis, Time-series Analysis and Forecasting, Factor Analysis, Structural Equation Modeling, Item Response Theory, Markov chains, etc.
You don't stop until the problem is solved
You like extreme ownership
You enjoy educating others: for example, by writing articles and giving talks to fellow engineers about how you used machine learning to power the first global virtual health practice

Nice to have
You are familiar with AWS
You have worked with systems/tools such as MySQL, PySpark, Amazon ML, Spark MLlib, TensorFlow
Working experience in a smaller hyper-growth startup is a plus

Help people and save lives
Work in one of the nicest offices in Silicon Valley in either our Palo Alto's University Avenue office (steps from Caltrain), or in our new office in San Francisco
Get served catered lunch, dinners, and healthy snacks
Take advantage of subsidized gym membership
Relax with in-office massages
Get covered by full medical, dental, and vision insurance
Enjoy competitive compensation and equity
Win at work in a diverse culture--Visa transfer/sponsorship is available
Enjoy a pet-friendly office with 4 legged members of our team :)

I'm interested

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