is a small team on a big mission to drive better health outcomes. Our pioneering platform combines a mobile app that uses smartphone sensors to passively collect information about an individual’s daily behaviors with an analytics engine (based on research from MIT’s Media Lab) that turns that raw data into health insights. We provide that information back to clinicians or loved ones who can act on it to ensure that at-risk patients receive the right care at the right time.

As we’ve grown, we’ve become part of the care solution at institutions such as Kaiser Permanente, Novant Health, UCSF, Duke Medical and Cincinnati Children's. In addition, has emerged as a leading voice in the conversation around bringing technology to behavioral health. is part of the Techstars network and is VC-backed by Khosla Ventures and True Ventures.

We come to work each day to revolutionize the way that care is delivered, and we'd love to have you join us.

We're looking for data engineers to join our data scientists to help architect the data processing pipeline. If you’re interested in learning how to scale systems, this would be a great role for you.

Desired Skills

  • MS (or PhD) in Computer Science or professional experience or projects in data processing, data mining, or machine learning

  • Knowledge of relational databases, document-oriented databases, key-value stores (NoSQL)

  • Excellent programming skills (Python preferred), and familiarity with test-driven development and profiling

  • Hands-on experience with distributed computation technologies such as Hadoop, HBase, Hive, Pig

  • Experience with data analysis using open-source statistical modeling tools (R, Python libraries, etc)


  • Work with engineering and data scientists to implement scalable feature extraction and classification systems

  • Drive architecture, services and engineering processes for data collection, storage, analysis, computation and visualization

  • Write well-structured, maintainable, idiomatic code with good documentation

  • Write unit tests for all new features and bug fixes, and participate in code reviews

  • Troubleshoot and manage production virtual servers & infrastructure (e.g. Linode, Heroku, AWS)

  • Communicate with the rest of the team (e.g. sales and user experience) to ensure that the functionality you’re implementing is what was intended offers a competitive salary and benefits in San Francisco’s Financial District. Our mission-driven culture combines a love of learning with a strong belief that everyone has a voice to contribute if we are to succeed and make a difference. We believe in empowering our team with the tools and transparent culture that we all need to perform and grow.

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