Senior Software Engineer (Machine Learning) - Quick commerce

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Senior Software Engineer (Machine Learning) - Quick commerce

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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 a Senior Software Engineer (Machine Learning) to join the Quick Commerce Data Science team on our journey to always deliver amazing experiences.

As part of the Integrated Partners Science team, you’ll be part of the ideation, design, prototyping, and deployment of Data Products that help solve and scale solutions for our local business partners. A couple examples are: a recommendations system for item replacement and a Data Product to help reduce items being out of stock when a picker is fulfilling orders.

As a Senior Software Engineer, your primary value lies in tackling problems at scale by building and maintaining the high‑performance serving layer for our ML models. A core part of this is integrating multiple microservices in real‑time to fetch external data, apply business rules, and enforce operational constraints to enrich model predictions and shape the final decision. This critical layer directly impacts the algorithm’s logic, leading to best‑in‑class efficiency and service across the Delivery Hero network.

Scale and Perform: Architect and build solutions at scale, optimizing for low‑latency performance and high efficiency in production.
System Ownership: Take end‑to‑end ownership of the backend serving layer, from design through deployment and maintenance.
Collaborate and Optimize: Work closely with Data Scientists, Analysts, and Data Engineers to understand needs and build solutions that optimize their workflows and transition models to production.
Innovate and Suggest: Proactively suggest how the team can leverage new technologies and architectures to support new use cases.
Leverage Cloud: Utilize modern technologies and public cloud infrastructure to build highly available systems for multiple teams using CI/CD and Infrastructure as Code.

Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non‑food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go‑to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.

Qualifications

Expert Proficiency in Go & Python: 4+ years of professional software development experience, with a focus on building high‑performance, concurrent backend services in Go and integrating with data/ML libraries in Python.
System Design: Proven experience designing and implementing new, scalable applications from scratch (e.g., gRPC services, GraphQL).
Streaming technologies: Experience with high‑throughput data streaming technologies (e.g., Kafka, Pub/Sub).
Technical Evaluation: Experience in technical explorations to evaluate technologies, conducting comprehensive pros and cons analyses, and proposing solutions for complex system design challenges.
DevOps Practices: Experience with CI/CD pipelines and Infrastructure as Code (Terraform or equivalent).
Containerization: Expertise with containerization and orchestration tools like Docker and Kubernetes.
Communication Skills: Fluency and clarity in English communication, both written and verbal.

Nice-to-Haves (Advanced Expertise)

Strong conceptual understanding of the MLOps lifecycle, including model serving, monitoring, and pipeline orchestration.
Prior hands‑on experience in ML Engineering or MLOps, including tools like Metaflow, MLflow, Argo Workflows, or Cloud Notebooks.
Experience in deep‑diving into existing complex systems for performance investigations and improvements.

Additional Information

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. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.
Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

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.