Software Engineer - Machine Learning (Search) (f/m/d)

Who we are?

As the top Swiss e-commerce platform, with a crew of over 3'200 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re passionate about making genuine improvements. We’ll give you the freedom and trust to make an impact, to grow with us and to be yourself. Act galactic. Be you.

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 productionize more ML-driven features, we’re doubling down on leveraging advanced models to enhance search quality, relevance, and overall user experience.

Team Enso is responsible for processes for goods receiving within logistics. There is a lot of potential for automation (with the help of ML and possibly computer vision). In addition, you should also be able to work hands-on with our backend code.

Your responsibilities

• 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 our MLOps practices and software architecture.

Your skills

• B.Sc. or M.Sc. in Computer Science, Data Science (ETH/UNI/FH), or a related field; or equivalent professional experience
• 4+ years of professional experience as a Software Engineer, with strong proficiency in the .NET ecosystem (C#) or equivalent (e.g. Java).
• 2+ years of experience shipping ML models to production and managing their entire lifecycle (deployment, monitoring, and retraining)
• Python profficiency with hands-on experience with ML libraries (PyTorch, NumPy, 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 (e.g., 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. As a team player, you contribute proactively to the team with empathy and a willingness to experiment.
• The capacity to adapt to ongoing changes in the work environment
• Work proficiency in English. German is a plus.

Why start with us?

• Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practise and preach.

• Courageous thinking: We encourage everyone to think on their feet,  and love it when they come up with bold or edgy ideas.

• Uncomplicated approach: Simplicity is at our core. We avoid the unnecessary and focus on what really matters –  from overcoming challenges to celebrating our shared successes.

• Flexibility and freedom: We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.

• Rapid growth: With us, growth is a continuous journey. We also support you with 2'000 EDU points per year for your professional development so there’s no risk of you getting stuck in a rut.

• Modern: With us you can work with the latest technologies every day, see our Tech-Radar.
• More than "just" work: Take part in our various employee events such as Hackathons, hiking, skiing, Böötlen on the Limmat, LAN Parties or Friday Night Drinks and, if you're interested, contribute to our Techblock.

• More benefits: 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.

Diversity is our culture.

To build the best team, we want to draw from the full spectrum of talent out there. This means people from all walks of life have the same opportunities with us, regardless of their ethnicity, religion, disability status, gender identity, sexual orientation or age. We believe true inclusion means everyone is welcome and each contribution is valuable.