• Galaxus

Machine Learning & Software Engineer (f/m/d)80 – 100%

  • Permanent position
  • Immediately or by agreement
  • Home office option
  • Working from anywhere
As we continue to productionize more ML-driven features, we are locking for ML Engineers with additional backend knowledge for two of our teams: The Nautilus product team builds and operates Galaxus’ product search, delivering millions of search results each day and helping customers find the perfect products. Team Enso is responsible for processes for goods receiving within logistics.

Key information

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

What you move

Main task

You’re part of a Software Engineering Scrum team.

Main task

You take the lead in our team for the further improvement of our ML models, as well as ensuring the models run reliably in production.

Main task

You’re a product-minded engineer with the ability to identify new opportunities to raise the automation rate with ML solutions.

Main task

You’re eager to coach a team of software engineers curious to learn more about ML and actively share your knowledge.

Main task

You stay up-to-date with emerging technologies and industry trends to continuously enhance our ML models.

Main task

Beyond ML, you’ll take an active role in software engineering work—from building and evolving APIs to ensuring our infrastructure runs reliably.

What you will bring

Professional experience

As a software engineer in .NET / C# and Python

Completed degree (university / university of applied science / higher technical college)

In computer science or data science

German (Fluent)

English (Fluent)

At least work proficiency in one of the two languages

Mandatory

You’ve had hands-on experience with ML libraries (PyTorch, NumPy, pandas, scikit-learn, transformers, etc.) and you’ve shipped several models to production.

Mandatory

Experience with MLOps practices and tools (MLflow, DVC, W&B, Airflow) along with cloud/infrastructure technologies such as GCP, Kubernetes, Docker, and Terraform

Mandatory

Openness, curiosity and initiative are what set you apart. You use your creativity to solve problems and achieve goals. As a team player, you contribute proactively to the team with empathy and a willingness to experiment.

Mandatory

The capacity to adapt to ongoing changes in the work environment

The benefits we offer

Flexible working hours

Flexible workplace / working from home

Maternity/paternity leave

Mobile phone subscription

Employee offers

Holidays

Individual continuing training

Initial and continuing vocation training

Personal responsibility & freedom

Room to manoeuvre and decision-making

Application and contact details

Patrick Meise

People Attraction & Active Sourcing Specialist

Information for recruitment agencies

Only direct applications will be considered for this position.