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

Requirements

• 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.

What you'll be doing

• 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.

Perks and Benefits

• 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.