Director of Applied Research (IC) - Extreme Retrieval
Core
Lead individual contributor responsible for cutting-edge retrieval models, bridging research and engineering to deliver robust, scalable systems.
Role type
Director of Applied Research (IC) - Extreme Retrieval
Builds
Scalable retrieval systems (RAG, LLM/SLM architectures) and optimized GPU infrastructure
Domain
Machine Learning / Information Retrieval
Deliverable
production ML models
Required skills
Transformer architecture expertise, attention mechanisms, dual/cross encoders, large-scale data training, distributed systems, GPU optimization, technical engineering leadership, talent acquisition, strategic partnerships
Preferred skills
Experience with low-level implementation details of training and inference
Technologies
Transformers, RAG, LLMs, SLMs, distributed systems, GPU infrastructure
Responsibilities
Guide teams in overcoming real-world challenges, co-lead culture and strategy, optimize GPU infrastructure, oversee engineering for ML codebases, drive talent acquisition, influence peers and seniors
Seniority
Director, hands-on IC
