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About the Role
We are building the ratings and reviews systems that shape how millions of people decide what to order. This is a greenfield space where you will define the direction, architecture, model strategy, and evaluation approach for LLM systems.
Responsibilities
- Own the LLM systems behind social proof end-to-end, including quality, reliability, and coverage across languages, platforms, and use cases.
- Set the standard for how the team builds with LLMs, including model and provider selection based on empirical cost, latency, and quality evidence.
- Drive the roadmap through problem discovery, finding high-impact gaps, quantifying business value, and turning them into scoped initiatives.
- Define and operationalize meaningful metrics, and build the evaluation infrastructure behind them.
- Take prototypes to production, shaping architecture and data flows with backend and data engineering, and building feedback loops for continuous improvement.
- Raise the bar beyond your own work through best practices, mentoring, and a culture of ownership and pragmatism.
Requirements
- Built LLM-based systems that reached production, preferably on noisy, multilingual, user-generated text.
- Experience across more than one model family and architecture, with empirical reasoning about cost, latency, and quality.
- Knowledge of when to prompt, when to add context or retrieval, when to fine-tune, when a small task-specific model wins, and when not to use an LLM.
- Designed offline evaluation suites, used LLM-as-judge patterns, structured annotation for generative outputs, and measured faithfulness, hallucination, and quality at scale.
- Instrumented built systems, including tracing chained calls, watching token usage and cost, and capturing intermediate outputs for debugging.
- Ability to turn ambiguous business needs into well-scoped DS problems, spot high-impact opportunities, and connect technical work to business outcomes.
- Ability to move from zero to one on imperfect information, ship in increments, and resist over-engineering.
- Ability to improve how people around you work through practices, standards, and rigour.
Skills
- NLP
- LLM systems
- Production-grade Python
- Analytical SQL
- ML lifecycle practices
- Orchestration
- Monitoring
- Version control
- CI/CD
- Statistics
- Causal inference
- Data collection pipelines
- Labeling pipelines
- Agentic development tools
- Automated prompt optimisation
- LLM-assisted annotation
Location
- Berlin, Germany
Work Type
- Hybrid
Experience Level
- Senior
Benefits
- 27 days holiday
- 1.000 € Educational Budget
- Language Courses
- Parental Support
- Udemy Business platform access
- Health Checkups
- Meditation
- Gym
- Employee Share Purchase Plan
- Sabbatical Bank
- Public Transportation Ticket Discount
- Life & Accident Insurance
- Corporate Pension Plan
- Digital Meal Vouchers
- Food Vouchers
About the Company
- 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 enable creative minds to deliver solutions that create impact within our ecosystem.
- We move fast, take action and adapt.
- No matter where you're from or what you believe in, we build, we deliver, we lead.
- We are Delivery Hero.
Equal Opportunity
- 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 [email protected].
- 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.