Company Description
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.
Job Description
We are on the lookout for an Engineering Manager to join the Global Machine Learning Platform on our journey to always deliver amazing experiences. 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.
If you have a proven track record of leading high-performing teams and a passion for machine learning engineering, this role offers a unique opportunity to make a significant impact.
As a leader on our team, you will:
Lead & Mentor: Guide and empower a team of machine learning engineers to design, build, and maintain robust MLOps architecture, ensuring the ML lifecycle operates efficiently at scale.
Collaborate Strategically: Partner with consumer teams to deeply understand their objectives and identify potential roadblocks, ensuring our platform effectively addresses their needs.
Drive Product Vision: Collaborate closely with Product Managers to define and execute the product roadmap, accelerating the development of innovative ML solutions.
Deliver Impactful Products: Lead your squad of engineers in delivering critical ML Platform products, including tooling for model training, monitoring, serving, and deployment.
Foster Communication: Excel in stakeholder management, proactively bridging communication gaps to ensure seamless collaboration across teams.
Own Technical Excellence: Take ownership of technical decisions and execution, ensuring timely delivery of high-quality software solutions.
Cultivate High Performance: Define effective ways of working, establish clear expectations, provide constructive feedback, foster a strong team culture, conduct impactful 1:1s, and support individual growth plans to maintain a high-performing team.
Qualifications
Production ML Experience: Proven record of taking machine learning models from development to production and maintaining them at scale.
ML Engineering Expertise: Extensive experience in ML engineering or MLOps. Working knowledge of the ML lifecycle and its ecosystem of tools.
Cloud Proficiency: Prior experience working with public cloud platforms (GCP/AWS or equivalent) and knowledge of Kubernetes
Leadership Acumen: Proven experience leading and mentoring a team of engineers and engineering managers as a direct manager.
Innovation & Building: Experience in building new solutions from scratch.
Exceptional Communication: Fluent in English with strong written and verbal communication skills.
Nice to Have:
Experience collaborating with platform teams.
Familiarity with performance evaluation processes and developing growth plans for engineers.
Experience in cross-functional collaboration with data scientists, analysts, and product managers.
Practical experience with ML tools such as Metaflow, MLflow, Argo Workflows, and Cloud Notebooks.
Additional Information
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, 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.