Principal Machine Learning Engineer ZMS (all genders)

THE ROLE & THE TEAM

We are ambitious and committed to be the starting point of fashion for our customers and partners; therefore we are improving our Applied Science and Engineering backbone for Ad Personalization working backwards from user content and context understanding. As a Principal Machine Learning Engineer in ZMS you will be the tech lead working with other ML engineers to build our real-time recommendation engine for our Ad Tech platform which includes organic and multimedia ads. If you want to work in a low latency / high volume scenario this role is for you.

This position is a unique opportunity to have visible impact and connect with exceptional talents from many different backgrounds: you will be part of a cross-functional team of Applied Scientists Data Engineers and Software Engineers. Together and with the support of Product Managers and Designers you create design and deliver new features to serve our customers and partners needs.

INCLUSIVE BY DESIGN

If you think you have what it takes we encourage you to apply even if you dont meet every single requirement. You may just be the right candidate for this or other roles!

At Zalando our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity and we actively seek out talent from all backgrounds.

We actively seek to reduce bias in our hiring and employment processes focusing on your qualifications skills and contributions. To support this we kindly ask that you refrain from including personal details such as your photo age or marital status in your CV ensuring a fair and equitable evaluation based solely on your abilities and potential.

We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process please let us know we are here to assist you.

Discover more about our commitment to creating a diverse and inclusive workplace: WED LOVE YOU TO DO (AND LOVE DOING)

• Drive the operationalization of solutions deployed in production and help the team grow and cultivate best practices in software development and MLOps. Architect and lead the development of machine learning solutions that can handle low latency high availability and high volume scenarios.

• Mentor engineers and provide technical guidance across multiple projects simultaneously while managing competing priorities effectively within agreed-upon timelines.

• Apply techniques and create processes to optimise deployed models for better performance latency and memory usage.

• Work closely with applied science and engineering teams product managers and other business stakeholders to bring our state-of-the-art solutions to customers and to discover and identify new opportunities.

WED LOVE TO MEET YOU IF

• You have excellent software development engineering skills to design computationally effective solutions for machine learning operationalization and maintenance (MLOps/MLaaS) in large-scale production environments (data engineering data version control model serving continuous monitoring & alerting).

• You have strong verbal and written communication and presentation abilities when discussing complex ideas with both technical and non-technical stakeholders alike.

• You have hands-on professional experience in programming using Python Java Flink pySpark PyTorch and TensorFlow. Strong programming skills with a high performance language (Java Scala Go etc) and experience working with Python in production.

• You have experience building deploying and operating data-driven systems in a cloud environment including experience with feature stores & feature engineering pipelines data ingestion & transformation machine learning workflow orchestration.

• You thrive to coach and mentor senior engineers and work closely with applied scientists senior machine learning engineers and data scientists.

OUR OFFER

Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 27 days of holiday a year to start for full-time employees (1 day for every calendar year up to 30 days)

• 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

• Employee shares program

• 40% off fashion and beauty products sold and shipped by Zalando 30% off Lounge by Zalando discounts from external partners

• 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