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: recommendations system for item replacement and a Data Product to help reduce items being out of stock when a picker is fulfilling the 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. 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.
You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. 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.
Experience with high-throughput data streaming technologies (e.g., DevOps Practices: Communication Skills: Fluency and clarity in English communication, both written and verbal.
Prior hands-on experience in ML Engineering or MLOps, including tools like Metaflow, MLflow, Argo Workflows, or Cloud Notebooks.
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, 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. You can also visit our relocation hub and check out more information about moving to Berlin.
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.cominclude it in your application.