Engineer II, ML/Go -

About the role

You will join the Core Recommendations Engineering squad to develop and manage systems that drive personalized discovery for our users. This position involves building production services in Go and Python that integrate machine learning models and experimentation platforms to serve real-time data at scale.

Key facts

What you'll do

• Design and operate end-to-end recommendation flows including candidate retrieval, ranking, and re-ranking logic.
• Develop low-latency, high-throughput APIs in Go and Python that orchestrate model inference and connect to vector databases and feature stores.
• Manage the full lifecycle of recommendation systems, ensuring data consistency, feature freshness, and accurate backfills.
• Maintain Tier-1 services by monitoring performance, managing error budgets, and leading incident responses.
• Implement rigorous testing, CI/CD pipelines, and performance regression detection to ensure high code quality.
• Support model experimentation through A/B testing, shadow deployments, and controlled rollouts in partnership with data science and product teams.

Requirements

• Proven experience building and maintaining production-grade services in Go and Python at scale.
• Ability to translate high-level requirements into functional, production-ready deliverables with minimal guidance.
• Strong problem-solving skills with the ability to break down complex technical challenges into manageable tasks.
• Experience operating data-intensive or machine learning-enabled systems with strict performance and latency requirements.
• Collaborative mindset with the ability to balance short-term project goals with long-term architectural stability.

Nice to have

• Experience with candidate retrieval systems, embeddings, and feature enrichment pipelines.

Skills & tools

• Go
• Python
• Machine Learning infrastructure
• Vector databases
• Feature stores
• CI/CD
• Observability and monitoring tools

Practical notes

• Hybrid work model: 2 days per week at the Berlin campus.
• Compensation and benefits include 27 days of holiday (increasing with tenure), 1,000 Euro educational budget, Udemy Business access, language courses, and parental support.
• Financial perks: Employee Share Purchase Plan, corporate pension plan, life and accident insurance, and public transport discounts.
• Health and well-being: Health checkups, gym access, meditation resources, and digital meal vouchers.
• Relocation support is available for those moving to Berlin.
• Delivery Hero provides accommodations for applicants with disabilities; contact inclusion@deliveryhero.com for support.