Senior ML Engineer - Inspiration and Entertainment

THE ROLE & THE TEAM

Our Entertainment and Inspiration Team will set out to solve major customer challenges around inspiration & entertainment in fashion & lifestyle e-commerce as well as helping our customers navigate the challenge of overwhelming choice in our ecosystem!

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

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

• Consistently ship working, testable, maintainable, readable code/data to production in small and safe iterations. You build solutions that are performant, scalable and fulfil the set SLOs of the product

• Own and operate backend microservices on top of Kubernetes and AWS 

• Build and improve reliable data-pipelines, enable data analysis and monitoring, and build reliable ML Products together with Applied Scientists. Be a strong owner for ML products, data and dashboards. 

• Participate in A/B test design/alignment, planning.

• Prototype, productionize and run a large scale real-time machine learning system

• Generate actionable insights from the data of 51+M customers

• Understand and design an ML product that solves real customer needs

• Make a positive impact on our engineering culture, encouraging knowledge sharing and drive technical discussions within the team and beyond

WE’D LOVE TO MEET YOU IF

• You have experience with real-world machine learning or advanced analytics

• Experience working with data scientists to know the process of experimentation to productionisation. This includes basic knowledge of machine learning concept such as training vs inference, backtesting, model monitoring

• Strong software development engineering skills to design effective solutions for machine learning operationalisation and maintenance in large-scale production environments (data engineering, model serving, monitoring). 

• Good skills in Python & SQL, Airflow and Spark, hands-on experience with Databricks, Git, working with cloud services (e.g. S3, sagemaker, dynamodb etc.). Curious about learning new technologies. Scala is a plus.

• Team player, can raise the engineering bar (live high challenge and high support), keep it simple sherlock, strong sense of ownership and dedication, proactive, disagree and commit

• Experience building recommender, personalisation or ad ranking systems is a plus

OUR OFFER

• Culture of trust, empowerment and constructive feedback with internal guilds and Employee Resource Groups, knowledge sharing through tech talks and open source commitment, internal tech academy and blogs, product demos, meetups, parties and events.

• Competitive salary and employee shares program.

• 40% Zalando discount of products sold and shipped by Zalando, 30% off Zalando Lounge and additional discounts from external partners

• Extensive onboarding, mentoring and training opportunities and an international team of experts to work with

• Relocation assistance for internationals

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

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!