💫 Machine Learning Engineer (Python)

Data Revenue

Location
REMOTE ONLY
Position
Category
Developer
Data Revenue logo
Skills
Pythondocker
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.

Compensation
  • 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.