Machine Learning Engineer ( Consumer - Global Recommendations & AI - Machine Learning Platform )

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

We are on the lookout for a Machine Learning Engineer to join the Consumer - Global Recommendations & AI - Machine Learning Platform tribe on our journey to always deliver amazing experiences.

At Delivery Hero, you’ll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers, creating data-driven, personalized interactions that keep them coming back. As part of our Consumer Team, you’ll enhance customer satisfaction and drive global growth and profitability through innovative projects.

Are you ready to take your Machine Learning Engineering skills to the next level and make a tangible impact on millions of users worldwide? We're seeking a talented Machine Learning Engineer to join our innovative Global Machine Learning Platform team. Our mission is to empower Data Science teams across Delivery Hero's diverse brands (Foodora, Foodpanda, Glovo, Talabat, Peya, Hungerstation, Woowa, and more) with a cutting-edge, scalable platform. This platform enables them to rapidly and reliably develop, deploy, and manage machine learning models that drive personalized experiences for our global customer base.
 

In this role you will,

• Build the infrastructure that powers personalized experiences for millions of customers across the globe, every single day.

• Design , build and maintain a scalable ML infrastructure to manage the entire ML lifecycle at scale.

• Develop Tooling: Build and enhance ML engineering tooling for Model Development, Model Workbench, Model Training, Model monitoring, and Model serving.

• Collaborate and Optimize: Work closely with data scientists and data engineers to understand their needs and build solutions that optimize their workflows.

• Leverage Cloud: Utilize modern technologies and public cloud infrastructure to build highly available systems for multiple teams.

• Scale and Perform: Build solutions at scale, optimizing for performance and efficiency.

• Address Pain Points: Understand the pain points of application teams and translate them into robust platform features.

• Innovate and Suggest: Proactively suggest how the team can leverage new technologies and architectures to support new use cases.

• Software Engineering Expertise: At least 4 years of experience in software engineering with hands-on experience with modern programming languages such as Python, Java, or Golang.

• Technical Evaluation: Experience in tech explorations to evaluate technologies for business problems and proposing solutions based on comprehensive pros and cons analysis.

• Proof of Concept: Prior experience building proof of concepts for solving system design challenges using open-source tools.

• Application Development: Experience building new applications from scratch.

• System Analysis: Experience in deep-diving into existing systems for investigations and improvements.

• ML Engineering Experience: Prior experience in ML engineering or MLOps.

• Communication Skills: Fluency in English. Clarity in communication, both written and verbal.

Nice to Have

• Prior knowledge of public cloud platforms (Google Cloud or equivalent).

• Experience with CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).

• Familiarity with the ML engineering ecosystem, such as Model serving, training, and feature engineering pipelines.

• Knowledge of containerization and orchestration tools like Docker, Kubernetes, and Helm.

• Experience with ML tools like Metaflow, MLflow, Argo Workflows, and Cloud Notebooks.

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday with an extra day on 2nd and 3rd year of service

• We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.

• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.