As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We are on the lookout for a Senior Machine Learning Engineer to join the Tech Foundations - Global Machine Learning Platform team. 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.
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., 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.
Optimize solutions for performance, security, and efficiency on a global scale.
GitOps, Software Design) by writing and sharing comprehensive technical documents and RFCs. 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.
Extensive, hands-on experience designing and building new complex applications and distributed systems from scratch. Proficient or Skilled in applying Software Design, Microservices, and Cloud Architecture Best Practices (GitOps, MLOps, DevOps).
Strong prior knowledge and hands-on experience with public cloud platforms (Google Cloud and AWS).
Communication & Influence: Exceptional clarity in written and verbal English communication, with experience contributing to and influencing architectural reviews and cross-team technical strategy.
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.
Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
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. Digital Meal Vouchers, Food Vouchers, Corporate Discounts. 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 inclusion@deliveryhero.