Description
We are seeking a Staff Applied AI Researcher to join a fast-growing team building an agent-native search platform, the web access layer for AI systems.
As a Staff Applied AI Researcher, you will have ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.
Responsibilities:
- Drive applied research and technical direction across retrieval and ranking systems
- Design and evolve multi-stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
- 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
Nice to haves:
- Experience with large-scale search or recommendation systems
- Background in agentic AI systems (agents, tool use, autonomous workflows)
- Experience with RAG, multi-step retrieval, or tool use
- Publications, open source, or similar signals of technical depth and impact
Benefits & Perks:
- 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