about 2 hours ago
Amsterdam, NetherlandsStaff+ / Senior
Responsibilities
- Drive applied research and technical direction across retrieval and ranking systems.
- Design and evolve multi-stage retrieval architectures.
- Develop methods for grounding LLMs in real-time web data at scale.
- Define and implement new evaluation paradigms and metrics for agentic systems.
- Lead experimentation on modern retrieval approaches and bring them into production.
- Analyze trade-offs across relevance, latency, and cost at scale.
- Work closely with engineering to deploy systems in high throughput, low latency environments.
- Own ambiguous problems end to end and contribute to product and research direction.
- Mentor engineers and help raise the technical bar of the team.
Requirements
- 8+ years of experience in applied AI, ML, or software engineering.
- Proven track record of shipping ML or AI systems to production at scale.
- Deep experience with search, retrieval, ranking, recommendation systems, or assistants.
- Strong understanding of modern deep learning, especially transformers and embeddings.
- Experience with LLM integrated or knowledge intensive systems.
- Experience designing evaluation frameworks and metrics for ML systems.
- Strong programming skills in Python and at least one of Go, C++, or similar.
- Ability to operate in a fast moving, product driven environment with high ownership and autonomy.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.