Senior Machine Learning Engineer (All Genders)

THE ROLE & THE TEAM

We are looking for a Senior Machine Learning Engineer to enhance Zalando’s Machine Learning Ops Platform team, making them more scalable, efficient, and impactful.  The primary focus of the work will involve contributing to the development, maintenance, and monitoring of MLOps Infrastructure, with key responsibilities including work on the Feature Store, Airflow pipelines, Databricks jobs, and associated observability systems. Additional tasks may be assigned as needed to support broader platform initiatives and evolving project requirements. Working closely with other Machine Learning Engineers, Data Scientists and Software Engineers, you will help shape the future of DARA ML & Data platform at Zalando.

WHAT YOU’LL DO

• Design and build foundational ML platform components, including systems for data access, feature management, model training, deployment, and inference at scale. 

• Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models in a reliable and automated way.

• Architect scalable, modular, and reusable systems that serve as the backbone of ML development across multiple teams.

• Implement core abstractions and APIs to standardize how ML workflows are executed - from feature creation to model rollout.

• Build and maintain observability and reliability tooling for ML systems - including telemetry pipelines, model health checks, and automated retraining triggers.

• Establish best practices, frameworks, and reference implementations that raise the bar for engineering rigor and speed in ML delivery.

• Work closely with infrastructure, data, and security teams to ensure that ML systems are secure, compliant, and production-grade by default.

WE’D LOVE TO MEET YOU IF

• 5+ years of experience in Spark, ML Ops, Data Engineering, AWS, Apache Airflow, Python.

• Proven experience productionizing ML models and orchestrating ML workflows.

• Experience with Databricks for scalable data processing and ML model training.

• Strong collaboration and communication skills.

• Bonus: Experience with feature stores and feature engineering pipelines.

OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start for full-time employees
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

​ Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us

INCLUSIVE BY DESIGN
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy https //jobs.zalando.com/en/our-culture/diversity-and-inclusion
Please note that all applications must be completed using the online form - we do not accept applications via email.