Machine Learning Engineer - ZMS (all genders)

Key Skills

Java Programming, Design, Python Programming, SQL, AWS, REST API, Scala Programming, Machine learning techniques, Kubernetes-K8s

Job Description

We are ambitious and committed to be the starting point of fashion for our customers and partners; therefore we are re-founding and scaling our Applied Science and Engineering backbone for Ads Personalization working backwards from user, content and context understanding.

As a Machine Learning Engineer in ZMS, you will work with talented scientists and engineers to build our real-time recommendation for our Ad Tech platform which includes Sponsored Product and Campaign advertisements. You will be responsible for building and scaling a new generation of machine learning products in the new and evolving field of Machine Learning Ops (ML Ops) in close collaboration with our Applied Scientists and Engineers.

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 talented cross-functional team made up 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

At Zalando, our vision is to be the starting point for fashion - 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://corporate.zalando.com/en/diversity-inclusion

Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups

WHY YOU SHOULD BE INTERESTED

• You play a key role in the design, architecture and development of end to end engineering solutions with full operational responsibilities on Cloud (AWS, Kubernetes) to allow our builders define, execute, and monitor Machine Learning Workflows
• Collaborate with the department’s Applied Scientists to optimise the training time and serving latencies of our ML recommendation models.
• Take ownership of the operational excellence of our AI systems design the architecture, looking for improvements in monitoring and scale ML algorithms
• You enjoy communicating and collaborating with customers, product managers and engineering peers.

WE'D LOVE TO MEET YOU IF

• A degree in Computer Science, or related field of study, or equivalent practical experience in writing clean, easy to change and testable code
• Strong programming skills with Java or Scala and you have experience working with Python or are willing to learn Python
• Knowledge in Agile Software Development, CI / CD, monitoring and scalability.
• You hold experience in building and operating REST APIs

ZALANDO BENEFITS 

Career Development

• We offer peer-to-peer performance reviews twice a year
• Learn and develop through our extensive Zalando training platform
• Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
• Support from an international team of experts; mentoring and professional development opportunities

Wellbeing

• 2 days paid leave per year for volunteering
• Minimum of 27 holiday days per calendar year
• Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
• Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

Flexibility

• Flexible working hours
• Relocation assistance available for internationals
• Home office equipment available for hybrid working, to support you working from home
• Hybrid working model with 60% remote per week
• Opportunity to work from abroad for 30 (working) days per calendar year 

Financial

• Access to the employee shares program
• 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
• Discounts from a wide range of external partners

Family

• Employee parents’ forums and employee resource group
• Supported transition into and out of parental leave, with a buddy and re-onboarding plan
• 3 fully-paid child sick days per year
• Free counselling, assistance, and referral service for all matters concerning yourself and your family via the Fürstenberg Institute