Software Engineer - Machine Learning; Search

The Nautilus product team builds and operates Galaxus’ product search, delivering millions of search results each day and helping customers find the perfect products. As we continue to product ionize more ML-driven features, we’re doubling down on leveraging advanced models to enhance search quality, relevance, and overall user experience.

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.

• You are part of a team of Software Engineers and Data Scientists.
• You take ownership of core engineering tasks, from architecting and evolving high-performance APIs to ensuring our infrastructure runs reliably.
• You build and maintain the serving infrastructure to ensure our ML models run reliably, efficiently, and at scale in production.
• You take a leading role in ensuring that our ML models are seamlessly integrated into CI/CD pipelines, automated for retraining, and monitored for performance drift.
• You stay up-to-date with emerging technologies and industry trends to continuously enhance our MLOps practices and software architecture.

• Minimum 4 years of professional experience in Software Engineering.
• Completed degree (university / university of applied science / higher technical college) in Computer Science, Data Science (ETH/UNI/FH), or a related field; or equivalent professional experience.
• German (Good knowledge) and English (Fluent). German is a plus.
• 4+ years of professional experience as a Software Engineer, with strong proficiency in the .NET ecosystem (C#) or equivalent (. Java).
• 2+ years of experience shipping ML models to production and managing their entire lifecycle (deployment, monitoring, and retraining).
• Python proficiency with hands‑on experience with ML libraries (PyTorch, Num Py, pandas, scikit‑learn, transformers, etc.).
• Experience with MLOps practices and tools (MLflow, DVC, W&B, Airflow) along with cloud/infrastructure technologies such as GCP, Kubernetes, Docker, and Terraform.
• Professional experience with search systems (Elasticsearch, Solr, or vector databases) is considered a strong plus.
• Openness, curiosity and initiative are what set you apart. You use your creativity to solve problems and achieve goals.
• The capacity to adapt to ongoing changes in the work environment.

• 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

Patrick Meise

People Attraction & Active Sourcing Specialist

Only direct applications will be considered for this position.