Get your career started at eHealth

eHealthInsurance has many exciting career opportunities in a number of locations, across various functions. Come join us today!

At eHealth we are passionate about to expertly guide consumers through their health insurance and related options, when, where and how they prefer. We are seeking an exceptional Staff Machine Learning Engineer who will act as technical lead in technical design, machine learning pipelines implementation and model deployment. The Staff Machine Learning Engineer will leverage cutting-edge technologies to develop machine learning solutions to solve the toughest problems for our online and telephonic customers.

Responsibilities

• Design, develop and deliver machine learning solutions to solve a range of business challenges, such as Recommendation, Ranking, NLP, Personalization, etc. 
• Build infrastructure to launch the MLOps pipeline that serves both real-time and batch machine learning pipelines that ingest, train, test, deploy models based on data from a variety of sources
• Scale advanced Machine Learning algorithms and complex statistical models on large volumes of data
• Productionize and deploy machine learning pipeline onto autonomous MLOps platform
• Write end-to-end pipeline code that is modular, scalable, and easy for future team members to build upon
• Monitor and assess the health of production modeling infrastructure and outputs
• Create metrics, design and implement A/B testing to evaluate machine learning solution performance per various metrics
• Provide technical guidance on machine learning model building and model deployment to other data science team members
• Partner with Product, Engineering, Data Engineering and Business partners to identify and formulate problems that needs machine learning solution

Qualifications:

• Bachelor degree in Computer Science, Physics, Mathematics, Statistics, Data Science or related technical discipline.
• 5+ years experience building end-to-end machine learning products, including developing, implementing, deploying and scaling machine learning models to production and monitoring its performance
• 5+ years experience with Machine Learning cloud technologies such as AWS SageMaker, Azure Machine Learning (AML), or Spark ML
• 5+ years  experience writing production quality code in Python, Scala and/or Java
• Strong ability to write an end-to-end pipeline code that is modular, scalable, and easy for future team members to build upon
• Strong programming skills and experience with Python, data manipulation (SQL, Spark, Pandas), and popular machine learning tools (PyTorch, Tensorflow, Scikit-learn)
• 3+ years experience with Natural Language Processing; experience with information retrieval/search is a big plus
• 3+ years experience collaborate directly with cross functional team such as product, business stakeholders on clarifying business requirement and presenting machine learning solutions
• Strong communication and interpersonal skills with the ability to present technical solutions to non-technical audiences

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eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.

If you are interested in applying for employment with eHealth and need special assistance or an accommodation to apply for a posted position contact us at:  accommodations@ehealthinsurance.com.