Engineer II, ML/Go - (Consumer, Global Discovery)

Delivery Hero; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

27 days holiday + extra days on years

Educational Budget

Language Courses

Parental Support

Udemy Business access

Health Checkups

Meditation and Gym

Employee Share Purchase Plan

Sabbatical Bank

Public Transport Ticket Discount

Life & Accident Insurance

Corporate Pension Plan

Food & Meal Vouchers

Zusammenfassung

Delivery Hero is seeking an Engineer II for Core Recommendations Engineering in Berlin. You will own production services in Go and Python that power real-time recommendations, collaborating with data science and data engineering to translate models into robust, scalable production systems.

The role emphasizes backend engineering with strong ownership of end-to-end systems, observability, and performance optimization in a high-traffic environment.

Qualifikationen

• Experience turning high-level requirements into production-ready systems.
• Ability to own Tier-1 services and handle high-throughput live traffic.

Aufgaben

• Design, build, and operate end-to-end recommendation pipelines with strict latency and reliability requirements.
• Develop low-latency Go and Python services exposing APIs for model inference and feature store integration.
• Ensure data correctness, observability, and post-mortems to improve reliability and tail latency.
• Collaborate with data science and product teams to translate models into production solutions.

Kenntnisse

Go Backend

Python Backend

System Design

ML/Data Pipelines

Problem Solving

Collaboration

Tools

Vector Databases

Feature Stores

CI/CD

Jobbeschreibung

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 push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

Job Description

We are on the lookout for a Engineer II for our Core Recommendations Engineering squads. This role is critical to building and operating the systems that power personalized discovery at scale. You will own production services written in Go and Python that serve real-time recommendations across multiple surfaces, integrating tightly with machine-learning models and experimentation platforms. You would be responsible for delivering, enhancing and maintaining the recommendation system which is robust, scalable and observable. You will work closely with other engineers in the team on mainly backend engineering and few front-end related components. You would collaborate with data engineering, data science, product partners to translate the recommendation strategies and models into production-grade engineering solutions. Your squad is responsible for one of the foundational components of our customer discovery experience.

• End-to-End Recommendation System: Design, build, and operate the full recommendation flow from candidate retrieval (recall-oriented systems, embeddings, and filters), through ranking (feature enrichment, model inference, scoring), to re-ranking (business rules, diversity, freshness, and policy constraints). Ensure these pipelines meet strict latency, availability, and correctness requirements.
• Production-Grade Recommendation Services: Build low-latency, high-throughput services in Go and Python that expose recommendation APIs, orchestrate model inference, and integrate with feature stores, vector databases, and downstream consumers.
• System Ownership & Data Correctness: Own the lifecycle of recommendation systems, including data contracts, offline/online consistency, feature freshness, and backfills. Ensure correctness, reproducibility, and debuggability of recommendation outcomes.
• Operational Excellence at Scale: Operate Tier-1 recommendation services with strong observability, alerting, and incident response. Perform post-mortems, manage error budgets, and continuously improve reliability, tail latency, and throughput.
• Engineering Quality & Delivery Velocity: Follow strong engineering practices across Go and Python codebases, including testing strategies for ranking logic, CI/CD, safe rollouts, and performance regression detection.
• Experimentation & Iteration: Enable fast iteration through A/B testing, shadow deployments, and controlled rollouts. Partner with Product and Data Science to support model experimentation while maintaining system stability.

Qualifications

• Experience of building from scratch: With some guidance/direction from the senior engineers, you should be able to convert high level requirements into production quality deliverable. You not just worry about the code but also about how this would fit into the overall eco-system.
• Owning and maintaining tier-1 services: You are ready to take the measured risks, apply prior learnings to improve the processes. You do not fear for responsibility if it comes with enough context about how to handle it. You will be touching the systems serving the high throughput live traffic.
• Go & Python Backend Expertise: You are familiar with Go and Python and worked on past projects which serve production traffic at large scale. Ideally into data-intensive or ML-enabled systems with strict performance requirements.
• Strong problem solving: You can take the vague problem statements to break them down into smaller chunks, propose a solution, and take it to the finish line.
• Collaborative mindset: With the guidance from senior engineers; you can balance between the short term goals and longer term solutions. You know how to align your personal ambitions with the team goals.

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.
• 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 and Food Vouchers.
• 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.

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 [e-mail].

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.