Senior Staff Machine Learning Engineer

BetterHelp · Mountain View, CA

Engineering Health & Well-Being Posted 1 month ago

Data Science
Machine Learning
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What do we do and why should you join us?

  • We help people change their lives. BetterHelp is the world’s largest counseling service. In 2013 we set out on a mission to provide everyone with easy, affordable, and private access to professional counseling - anytime, anywhere. Today, our network of over 15,000 licensed, accredited, and board-certified therapists have assisted more than a million people face life challenges. Every month, our secure website and mobile app facilitate over five million messages, chats, voice calls, and video sessions each month that help people change their lives.

  • We are a community that grows together - both professionally and personally. Even with our exponential growth, our team is kept agile and nimble, allowing you to have a huge impact and carve your own path from day one. We invest in our people’s well-being and upward mobility because we know that business and individual growth go hand-in-hand.

What are we looking for?

BetterHelp is looking for a Senior Staff Machine Learning Engineer to join its data team. BetterHelp intends to work on a series of interesting projects which is composed of batch (i.e. feature and machine learning pipelines), streaming (i.e. feature computation in real time), and online (i.e., microservices to serve different products) components. The successful candidate (and subsequently, the team) will be responsible for all of these components, as well as the underlying algorithms and evaluation methodologies.

As the first Machine Learning Engineer on the team, you will design, build, and integrate scalable systems, platforms, and tools. You will assist Data Scientists in deploying their code into production. You will have a pivotal role in our organization and you will work closely with Data Engineers, Software Engineers, and Product Managers.

This is an exceptional opportunity for those who want to lead machine learning efforts and make an impact while working in one of the fastest growing businesses in the bay area. The ideal candidate will work closely with the VP of Data Science and will have an important role in setting up the direction of the machine learning efforts, hiring successful talent, and mentoring junior data scientists and engineers.

What will you do?

  • 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 BetterHelp

What will you NOT do?

  • You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
  • You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
  • You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people allowed here!
  • You will NOT get yourself burned out. We work hard but we believe in maintaining sustainable work/life balance. Really.


  • 7+ 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

Bonus (great To Have But Not Required)

  • M.S. or Ph.D. degree in computer science, computational science, computer engineering, operations research or equivalent
  • Experience working with AWS EMR, Sagemaker or other cloud based platforms
  • Experience with Data stores such as S3, Snowflake, and Redshift
  • Prior experience in production deployments on AWS Lambda, EMR, or Airflow
  • Experience with development environment and deployments using Docker


  • Very competitive salary & equity compensation
  • Excellent health, dental, vision coverage
  • 401k benefits with employer matching contribution
  • Ridiculous perks programs during COVID-19 pandemic
  • Office in the heart of downtown Mountain View, a three-minute walk from Caltrain
  • Catered lunch every day, bottomless snacks (even avocado toast!), and locally roasted coffee
  • Commuter benefits, FSA accounts, and Employee Stock Purchase Programs available
  • Building something that matters - loved by the people and admired by the press
  • Any piece of hardware or software that will make you happy and productive
  • Free BetterHelp accounts for all team members
  • Awesome people to work with
  • Nothing to slow you down
  • Helping people have a better life, every day

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