Senior Machine Learning Engineer - Tech Foundations - Global 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 around 65 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

Senior Machine Learning Engineer – Tech Foundations – Global Machine Learning Platform. This role is a premiere opportunity to define the architectural future of ML and AI Platforms and drive significant business value across Delivery Hero's diverse brands (Foodora, Foodpanda, Glovo, Talabat, and more). Your mission is to build and evolve the cutting‑edge, centralized platform that empowers Data Science and Machine Learning Engineering teams to rapidly, reliably, and safely develop, deploy, and manage high‑impact, personalized ML models for millions of customers every day.

Key Expectations & Responsibilities

• Architectural Leadership: Define the long‑term technical vision, roadmap, and architecture for components of the Global ML Platform. Lead the design, build, and maintenance of scalable ML infrastructure services (e.g., Model Development, Training, Serving, Monitoring) that manage the entire ML lifecycle at scale.
• System Ownership and Innovation: Drive complex, ambiguous projects end‑to‑end, translating pain points from cross‑functional application teams into robust, high‑impact platform features. Proactively champion and implement new technologies and architectures to support novel use cases.
• Scalability and Resilience: Implement highly available, secure, and performant systems utilizing deep expertise in modern public cloud infrastructure (GCP or equivalent), leveraging Infrastructure as Code (Terraform) and container orchestration (Kubernetes, Helm). Optimize solutions for performance, security, and efficiency on a global scale.
• Mentorship and Standards: Define and enforce engineering best practices (e.g., GitOps, Software Design) by writing and sharing comprehensive technical documents and RFCs. Act as a technical mentor, guiding and reviewing the work of junior and mid‑level engineers to ensure code quality, consistency, and team‑wide technical excellence.

Qualifications

• ML Platform Mastery: At least 5+ years of relevant experience in Software Engineering, Machine Learning Engineering, MLOps, or Platform Engineering. Proven ability to write high‑quality, maintainable code in modern programming languages such as Python or Golang.
• Architectural Depth: Extensive, hands‑on experience designing and building complex applications and distributed systems from scratch. Proficient in applying Software Design, Microservices, and Cloud Architecture best practices (GitOps, MLOps, DevOps).
• Infrastructure Expertise: Demonstrated mastery of containerization and orchestration tools (Docker, Kubernetes, Helm), CI/CD pipelines, and Infrastructure as Code (Terraform or equivalent).
• MLOps Ecosystem: Deep familiarity with the entire ML engineering ecosystem, including Model Serving, Training, and Feature Engineering pipelines.
• ML Savvy: Experience with ML tools such as Metaflow, MLflow, Argo Workflows, Jupyter Notebooks, and serving frameworks such as Triton.
• Cloud Proficiency: Strong prior knowledge and hands‑on experience with public cloud platforms (Google Cloud and AWS).
• Advanced Problem‑Solving: Expert in technical deep‑dives, complex investigations, debugging, and Root Cause Analysis in large‑scale existing systems. Proven ability to conduct technical explorations and propose solutions based on comprehensive pros/cons analysis.
• Communication & Influence: Exceptional clarity in written and verbal English communication, with experience contributing to and influencing architectural reviews and cross‑team technical strategy.

Additional Information

• Hybrid working model: join us for face‑to‑face connection and collaboration in our beautiful Berlin campus 2 days a week.
• 27 days holiday, with an extra day on the 2nd and 3rd year of service.
• Educational budget of €1,000, language courses, parental support, and access to the Udemy Business platform to explore a variety of online courses.
• Health & wellness benefits: health check‑ups, meditation, yoga, gym, and bicycle subsidy.
• Financial benefits: Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, corporate pension plan.
• Meal and food perks: digital meal vouchers, food vouchers, corporate discounts.

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 let us know with an email to our Inclusion Officer at Severely disabled applicants with equal qualifications will be given preferential consideration. You’re welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.