Engineer II, MLGo (Consumer, Global Discovery)

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 :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were 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 & Gym.
• Cash. Dough. Cheddar. Whatever you call it well 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 weve 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 youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

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Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1