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Principal Machine learning Engineer(All genders)

Zalando SE

Berlin

Vor Ort

EUR 70.000 - 110.000

Vollzeit

Vor 19 Tagen

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Zusammenfassung

Zalando SE is seeking a Principal Software Engineer in Berlin to drive the evolution of their recommendation and search systems. The role involves leading the design of ML infrastructure, optimizing pipelines, and collaborating with cross-functional teams to enhance personalized customer experiences.

Leistungen

Employee shares program
40% off fashion and beauty products
2 paid volunteering days a year
Hybrid working model
Work from abroad for up to 30 working days
27 days of vacation a year
Relocation assistance available
Family services
Health and wellbeing options
Mental health support

Qualifikationen

  • 8+ years of experience in ML Engineering.
  • Proven track record of shipping ML models to production.
  • Strong knowledge of retrieval/ranking/recommendation systems.

Aufgaben

  • Architect and scale end-to-end ML systems.
  • Lead design of ML infrastructure.
  • Drive ML Ops best practices.

Kenntnisse

ML Engineering
Production-grade ML systems
Cloud infrastructure (AWS)
Orchestration tools (Airflow)
Mentoring

Tools

Databricks
Spark

Jobbeschreibung

Principal Software Engineer (All genders) page is loaded

Principal Software Engineer (All genders)
Apply locations Berlin time type Full time posted on Posted 2 Days Ago job requisition id 2719880

Senior Data/ML Engineer - Recommendations & Search

THE ROLE & THE TEAM

We are looking for a Principal Machine Learning Engineer to drive the evolution of Zalando’s large-scale recommendation and search systems. In this strategic role you’ll collaborate with cross-functional partners to deliver cutting-edge, personalised experiences that serve millions of customers across Europe. You will play a key role in productionizing ML models, optimizing pipelines, and ensuring seamless deployment of high-performing recommendations and search systems.

You’ll join the Recommendations & Search department, shaping how customers discover products they love, and how ML engineering supports rapid iteration and experimentation while ensuring platform reliability.

WHAT YOU’LL DO

  • Architect, build, and scale end-to-end ML systems for retrieval, ranking, and recommendation models in both real-time and batch environments.

  • Lead the design of ML infrastructure, ensuring reliability, performance, and observability across training and inference workflows.

  • Drive ML Ops best practices.

  • Partner with Data Scientists, Engineers, and Product Managers to turn ideas into production-grade solutions with measurable business impact.

  • Mentor and guide engineers, review designs, and set technical direction.

  • Evaluate and implement new technologies to expand our capabilities.

  • Champion reusability and scalability, enabling faster iteration cycles and reducing tech debt across recommendation/search pipelines.

WE’D LOVE TO MEET YOU IF

  • 8+ years of experience in ML Engineering, including deep expertise in building production-grade ML systems at scale.

  • Proven track record of shipping ML models to production, including complex pipelines with real-time serving and batch processing.

  • Expertise in cloud infrastructure (AWS), orchestration tools (Airflow), and feature stores.

  • Hands-on experience with Databricks, Spark, and distributed training and inference.

  • Strong knowledge of retrieval/ranking/recommendation systems.

  • Ability to lead through influence, drive alignment on architecture, and set engineering standards across multiple teams.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

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 Zalando Lounge, discounts from external partners

  • 2 paid volunteering days a year

  • Hybrid working model with 60% (or more) 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 (for Zalando SE)

  • Relocation assistance available (subject to prior agreement)

  • Family services, including counseling and support

  • Health and wellbeing options (including Gympass)

  • Mental health support and coaching available

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

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It’s the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the Starting Point for Fashion in Europe. We connect customers, brands, and partners across 25 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to 50 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

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