💫 Machine Learning Engineer (Python)

Data Revenue

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The role

Tired of data science roles that end up being mostly data engineering. Or spending years on edge cases for a single application?

Join our 100% remote, full-time, team of Machine Learning engineers, and work on different ML problems every day.

Take responsibility for the entire ML project cycle: From researching the best ML approaches for a problem, to scaling your model on AWS running billion of live requests per day.

Work with us and our growing customers in different fields on meaningful ML challenges: Predicting rare diseases, automating radiology assessments, optimizing car manufactoring and better managing electrical grids for entire countries.

You will like the role if you want to
  • Work 100% on machine learning projects, no data warehousing, no distractions.
  • Work on hard, interesting and meaningful challenges – like AI for digital drug discovery.
  • Work remotely from anywhere in the world.
  • Get stuff done and try your ideas – with 0 bureaucracy.
  • Go on team adventures around the world, twice a year.
  • Work on large & complicated datasets from companies like Volkswagen, Mercedes and Johnson & Johnson.

Skills you need
  • Excellent communication.
  • Solid Engineering Background (4+ years development experience).
  • Familiar with AWS and / or Google Cloud, Docker and Python.
  • Familiar with Machine Learning.

Skills you will learn
  • How to build real-world machine learning pipelines.
  • How drugs are developed, cars are built, how LCMS machines work, and genomes are sequenced and of course what the data involved looks like. – You will never be bored.

  • 2.500 – 4.500 € / month, depending on experience and location (cost of living).
  • Company shares – and shares in yearly profits.
  • Unlimited contract, paid holiday & sick days and team holidays twice per year.
  • Hardware (MacBook), if you need it.
How to apply
  • Step 1: Fill out our ML Engineer Questionnaire: https://forms.gle/LRaPqtUyVSv9ve8x5 
  • Step 2: Complete a small online Code Challenge.
  • Step 3: Interview 1 with our CTO and CEO
  • Step 4: Data Science Code Challenge
  • Step 5: Interview 2 with our CTO and CEO, and Offer.
  • Step 6: Offer

Junior ML Engineers

We also hire exceptionally motivated and talented junior ML engineers. If that's you apply, and we will be excited to review your application.