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Machine Learning Engineer

We are looking for a Machine Learning Engineer/Data Scientist that will help us build the intelligence behind our systems. You will apply the latest machine learning algorithms to improve the lives of people and to help doctors in their diagnoses. In this role, you will have a strong impact on the company's success.

  • You will be part of our engineering team consisting of machine learning, backend, Android, and iOS engineers.
  • You will have the chance to work on top of the biggest diabetes database in the world, with over 3 billion data points. 
  • You will play a role in every part of our machine learning lifecycle: from the initial research to the production-level implementation, from discussing long-term goals, to making post-release micro-improvements.
  • You are able to navigate yourself quickly through the sea of machine learning literature, keeping our concrete goals as a compass. You will decide the best model for every problem and will be keen to implement that in practice (Python). You are able to explain your choices at any level of detail, from discussing the activation function of your neural network convolutional layer to the most accessible explanation of your goals and results.
  • You take ownership of core projects of our company and we can rely on you to drive them forward proactively.

About you

  • You have an exploratory mindset with a bias towards action.
  • You have a strong analytical and quantitative background.
  • You have experience with researching, data science modeling, or engineering in the aforementioned domains.
  • You have experience with machine learning, classification, and regression, categorical and numeric.
  • You have experience with time series analysis.
  • You have experience with neural networks (different models and different applications).
  • You can take a project from idea to experiment, to prototype, to implementation.
  • You have experience with the technical tools for analysis, especially in Python
  • You have experience with SQL.

About Glooko

There are over 420 million people in the world with diabetes and Glooko helps them, as well as their physicians and care team, manage the disease more easily and cost-effectively. Glooko is the Unified Platform for Diabetes Management and provides an FDA-cleared, HIPAA compliant Web and Mobile (iOS and Android) application for people with diabetes and the clinicians who treat them. The platform seamlessly unifies data from over 80 of the leading blood glucose meters, insulin pumps, continuous glucose monitors, activity trackers, and biometric devices to deliver insights that improve personal and clinical decision support.

Glooko’s mobile app and web dashboard enable patients to easily track and proactively manage all aspects of their diabetes care. Glooko’s Population Tracker and APIs offer diabetes-centric analytics and supply insightful reports, graphs, and pattern-triggered notifications to patients, health systems, and payers. The Glooko platform also allows customers and third-party developers to create branded modules for Glooko users.

Launched in 2010, Glooko is funded and managed by visionary technologists and leaders in healthcare.

Glooko's Perks and Benefits Include

This is an exciting opportunity to join a highly motivated, interdisciplinary team with backgrounds in machine learning, software development, medicine, and business. You will benefit from a communicative, stimulating, and friendly environment. We offer:

  • You will join a highly professional and motivated 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.
  • You will enjoy EUR 3000 yearly budget for personal development 

We do work that matters, join our journey!

Data privacy notice

By submitting a job application to Glooko GmbH, 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: . For any questions, you can also contact us anytime at




Berlin, GermanyOnsite

Job type



Machine Learning


ClassificationEngineeringHealthcareMachine Learning
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