Senior ML Engineer (Agentic Search)
Core
Design, train, and deploy machine learning models for retrieval, reranking, and indexing at scale to power an agent-native search platform for AI systems.
Role type
Senior IC machine learning engineer (search & retrieval)
Builds
Production ML models for retrieval, ranking, and indexing; embedding-based large-scale retrieval systems
Domain
AI infrastructure, large-scale search, information retrieval
Deliverable
production ML models
Required skills
Python, Go, C++, machine learning, deep learning, retrieval systems, ranking algorithms, large-scale data systems, evaluation frameworks, system design
Preferred skills
search systems, embeddings, transformers, NLP, LLM-powered systems, open-source contributions, competitive ML
Technologies
Python, Go, C++, transformers, LLMs
Responsibilities
Design and deploy ML models for retrieval and reranking; build and optimize embedding-based indexing; develop models for crawling and content understanding; define quality metrics and evaluation pipelines; analyze performance trade-offs; integrate models into production services; experiment with SOTA techniques in search and LLM systems.
Seniority
Senior, hands-on IC
