Senior Android Engineer – Mobile Sensors in Digital Health

About xbird

We develop ways to use smartphones and wearables to predict and prevent health risks. Our technology captures data streams from the built-in sensors in smartphones and wearables, and translates these into activities and behavioural patterns. With this information, we are able to support the patients in their therapy, giving them the right information at the right time. Ultimately we help patients to follow their doctor’s advice – helping them to get well again, faster.

The position

We are looking for an experienced Android developer to lead our effort on the Android platform. In this role, you will have high responsibility and a strong impact on the company’s success.

You will be working directly on our core product, which collects mobile sensor data, stores it, and eventually uploads it to our cloud service for interpretation. You will work with all manner of sensors, such as the accelerometer, gyroscope, barometer, and magnetometer. You will ensure the data collection runs efficiently, keeping its power consumption minimal. You will collaborate with the whole team on the data interpretation. As we move our product closer to the device you will be responsible for implementing data processing, analysis and learning.

Who are we looking for?

  • You have 5+ years of experience developing Android apps and frameworks, in both Java and Kotlin.
  • You have worked with sensors on phones before (experience with wearables a big plus).
  • You enjoy writing code that handles a lot of data and have experience or awareness of on-device data-processing and ML techniques.
  • You have good knowledge of background execution modes on the Android platform.
  • You have good knowledge of multi-threaded and asynchronous code.
  • You have a pragmatic approach to problem-solving.
  • You have an entrepreneurial mindset and are comfortable working in a fast-paced startup environment.
  • You want to do work that matters.

Why join us?

  • You will become part of a highly professional, motivated and international team.
  • You will have a competitive salary with equity options.
  • You will have the opportunity to contribute to a great mission.
  • You will get invaluable insights into the digital health industry.

We offer you to get in on the ground level of one of Berlin’s most exciting companies with a management team that has already built and successfully exited numerous ventures. We have flat hierarchies and a no-bullshit atmosphere. We work on things that matter. Join our journey!

For any questions, you can also contact us anytime at [email protected]

Data privacy notice

By submitting a job application to xbird, you provide consent to us to use your personal data for recruitment purposes. For more information, including your rights as a data subject, please read our privacy policy for job applicants: https://www.xbird.io/privacy-job-applicants .

xbird is a medical AI company dedicated to saving lives by disrupting the way we think about prevention and early detection of diseases. We are developing sophisticated machine learning algorithms that analyze sensor data from smartphones and wearables to predict and prevent critical health risks. We are a team of medical doctors, data scientists, machine learning engineers and serial entrepreneurs from Berlin and Silicon Valley. xbirds provides a service to medical device and pharma companies to achieve higher patient engagement, reduce patient burden and work towards improving patient outcomes. Science in the 20th century witnessed a plethora of discoveries and advances, many of those contributing to the treatment of diseases. But the majority of the healthcare revolution is still ahead of us. The technological innovation of the 21st century offers vastly new possibilities for the treatment of many conditions. At xbird, we believe in saving lives with technology by designing new ways to help patients understand their condition, and offering new ways to improve therapy. We use the latest technology in the field of artificial intelligence to process data streams and to provide personalized assistance to enable better treatment.

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