ML Engineering - Python

Jr. Machine Learning Engineer

The challenge

We are looking for talented engineers who enjoy diverse and difficult engineering challenges. To succeed, you will need to learn about bioinformatics, devops, production software development & architecture, and how to be responsible for a project and - eventually - for a team.

Together with us, you will turn cutting-edge algorithms into urgently needed software tools for metabolomics researchers - who are working to cure diseases and understand biology.

Your background

  • You have at least 2 years of software development experience and are very familiar with Python.
  • You have experience in deploying solutions to production.
  • You are an excellent communicator.
  • You studied Computer Science (not a strict requirement).

Your motivation

  • You are excited to add a scientific component to your engineering work. (Like machine learning and bioinformatics).
  • You are never satisfied with your code quality and are eager to learn more about writing clean code and designing good architectures.
  • You love taking on responsibility, working independently. Without any bureaucracy.

What you will learn

  • How to design, build, test, document and deploy scalable machine learning software.
  • How machine learning contributes to advances genetics, metabolomics and proteomics.
  • Tools to deploy production ml solutions (Docker, Kubernetes, AWS, Prefect, MLFlow, Seldon, Dask, ...)

Why it's fun

  • You will never be bored.
  • You will work with and learn from a large team of like minded engineers.
  • Contribute to open source software.
  • Go sailing together with the entire team twice a year.
  • Get shares in the company and the profit.
  • Work with a team of only software engineers - we have no business managers.

How to apply

  • Step 1: Fill out our ML Engineer questionnaire:
  • Step 2: Complete a small online Code Challenge.
  • Step 3: 1st Interview with our CEO
  • Step 4: Machine Learning engineering code challenge
  • Step 5: 2nd Interview with our CTO and a senior engineer.
  • Step 6: Offer

Want to learn more about what we are working on? Checkout our blog.

Apply Here

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