Staff Machine Learning Engineer

Join the red-hot field of healthcare technology and enjoy the opportunity to apply technical ingenuity and machine learning expertise to optimize Teladoc Health's trailblazing member solutions. As our Staff Machine Learning Engineer, your fascinating and effective new approaches to ML will directly impact the health and happiness of our members. Currently we're working with models and approaches such as LSTMs, VAEs, Doc2Vec, contextual bandits, and reinforcement learning. With these models, your work will drive clinical results and behavior-change outcomes, while reducing healthcare costs. Armed with insightful data, you can personalize member updates and recommendations, while continually improving our platform features.

Leveraging innovative, advanced technology, you'll contribute to our ability to rapidly expand our product offering, reaching more people, and addressing more health issues. With ML you'll uncover key insights into member health and behavior, enabling us to personalize the platform for individuals and provide direct, measurable benefits.

Essential Duties and Responsibilities

• Design, prototype and build machine learning systems, frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks

• Translate data science prototypes into scalable production implementations

• Partner with data scientists to troubleshoot and optimize complex data pipelines

• Deploy machine learning models into production

• Build model deployment platform that can simplify implementing new models

• Build end-to-end reusable pipelines from data acquisition to model output delivery

• Mentor and guide data scientists to deploy their models into production

• Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for Teladoc Health

• Work with Scala, Python, Tensorflow, Keras to build real-world products using ML

• Collaborate closely on intriguing technical projects with data scientists, data engineers, product managers, design specialists, and clinical researchers

• Identify opportunities and propose new ways to apply ML to solve challenging technical and data engineering problems and thus improve business results

• Design, develop, deploy, and maintain production-grade scalable datatransformation, machine learning, time series models and deep learning code, pipelines, anddashboards;manage data and model versioning,training,tuning,serving,experiment and evaluation tracking dashboards

Qualifications

• 10+ years of full time experience with data and/or backend engineering or equivalent

• Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms

• Experience integrating Machine Learning models in production (batch, streaming and online)

• Fluent in Machine Learning algorithms

• Expert in Python, Java, and/or Scala

• Expert in using offline data storage and processing frameworks such as Hadoop and Hive

• Superb written and oral communication skills

• Experience in writing data pipeline and machine learning libraries and utilities

• Industry experience building and productionizing innovative end-to-end Machine Learning systems

• Willingness to learn new technologies

• Willingness to mentor junior data scientists

• Comfortable in a high-growth, fast-paced and agile environment

The base salary range for this position is $140,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: . Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.