Zalando

Senior Machine Learning Engineer (All genders)

Zalando Berlin, Germany

Retail · 10,001+ employees

14 h ago
machine-learning Senior (5-10 yrs) Full-time Visa sponsorship Germany
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About the role

You will build and optimize machine learning pipelines for training, deploying, and monitoring recommendation models. Additionally, you will productionize models by orchestrating workflows and ensuring scalable, reliable inference on AWS.

What they look for

PySpark ML Ops AWS SageMaker CloudFormation Apache Airflow Python PyTorch Deep learning Machine learning Data quality Feature stores Real-time feature engineering Kubernetes Recommendation systems Workflow orchestration

Requirements

Candidates must have 5+ years of experience with PySpark, ML Ops, AWS, Apache Airflow, Python, and deep learning frameworks. Proven experience in productionizing machine learning models and orchestrating workflows is required.

Benefits

Employee shares program 40% discount on fashion and beauty products 30% discount on Zalando Lounge 2 paid volunteering days 27 days of vacation Relocation assistance Family services Health and wellbeing options Gympass Mental health support Training platform Opportunity to work from abroad for 30 days

Full description

THE ROLE & THE TEAM

We are looking for a Senior Machine Learning Engineer to enhance Zalando’s recommendation ML systems, making them more scalable, efficient, and impactful. You will play a key role in productionizing ML models, optimising pipelines, and ensuring seamless deployment of high-performing recommendation systems. Working closely with Applied Scientists, Product and Software Engineers, you will help shape the future of personalized shopping experiences for millions of customers.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING) 

  • Build and optimise ML pipelines for training, deploying, and monitoring recommendation models.
  • Productionize ML models by orchestrating workflows (Apache Airflow) and deploying scalable, reliable solutions on AWS for real-time and batch inference.
  • Improve data quality and reliability for real-time and batch inference systems.

            

WE’D LOVE TO MEET YOU IF…

  • 5+ years of experience with PySpark, ML Ops, AWS (SageMaker, CloudFormation), Apache Airflow, Python and deep learning frameworks (e.g. PyTorch).
  • Proven experience in productionizing ML models and orchestrating ML workflows.
  • Experience with PySpark on Databricks (or similar) for scalable data processing and ML model inference.
  • Strong collaboration and communication skills.
  • Experience with feature stores, real-time feature engineering or Kubernetes is a plus.

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
  • 27 days of vacation a year to start
  • 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
  • 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 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

  • Opportunity to work from abroad for 30 (working) days per calendar year

ABOUT ZALANDO

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 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 48 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values https //jobs.zalando.com/en/our-founding-mindset

do.More - our sustainability strategy https //corporate.zalando.com/en/sustainability

Follow us on Instagram instagram.com/insidezalando

Please note that all applications must be completed using the online form - we do not accept applications via email.

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