Senior Machine Learning Engineer (Vendor Data) - AdTech (all genders)

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 looking for a talented and motivated Senior Machine Learning Engineer - Vendor (all genders) to build a best in class Machine Learning platform to support our fundamental shift to machine learning in the Vendor vertical at Delivery Hero. You will be working with a team of ML Engineers and Data Scientists deploying advanced ML services to solve complex problems, delivering revenue for Delivery Hero at the frontline of our profitability journey. 

At Delivery Hero, we are exploring the potential of AdTech to introduce people to new food they love and to enable our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach, improve their order conversion, and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock, our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. In 2025, Ad Tech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our innovative tech and product offering is the backbone of that development.

The Vendor Data tribe’s mission is to drive innovation, insight-driven decision making and to solve business problems through a culture of excellence and openness. The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions covering a host of business opportunities across all of Delivery Hero’s 70+ markets.

If you're a builder in machine learning who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Your mission: 

• Design, develop, and deploy machine learning solutions and services tailored to specific product requirements.

• Collaborate with cross-functional teams to understand business objectives and translate them into effective ML solutions.

• Implement scalable and reliable infrastructure to support machine learning services in a production environment.

• Conduct performance analysis and optimization of ML services to ensure efficiency and effectiveness.

• Stay current with industry trends, emerging technologies, and advancements in machine learning to continually enhance service offerings.

• Provide technical expertise and support to stakeholders during the integration and deployment of machine learning solutions.

• Collaborate with data scientists, ML engineers, software engineers, and other stakeholders to ensure seamless integration of ML services into existing systems.

Qualifications

• Proven experience in developing and deploying machine learning models in a production environment.

• Deep understanding of storage and caching methodologies.

• Strong programming skills in languages such as Python, Java, or Golang.

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

• Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

• Excellent problem-solving and communication skills.

• Ability to work collaboratively in a fast-paced, team-oriented environment.

• Excellent interpersonal skills and the ability to collaborate in interdisciplinary teams and stakeholders including product and engineering teams.

Nice to have: 

• Experience working in an Ad Tech data science team involving neural network-based machine learning solutions to ranking, recommendations, and bidding.

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, 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.