Senior ML Engineer (Agentic Search)
Core
Develop 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, reranking, and search relevance; data and training pipelines; ML platform infrastructure.
Domain
AI infrastructure, agentic search, web access layer
Deliverable
production ML models
Required skills
Python, Go or C++, production ML deployment, transformers and embeddings, data/ML pipeline orchestration, model evaluation metrics
Preferred skills
retrieval/ranking/recommendation experience, Kubernetes, distributed training, GPU scheduling, inference optimization, open-source contributions, public benchmark results
Technologies
Kubernetes, GPU scheduling, experiment tracking, model lifecycle tools
Responsibilities
Train and deploy embedding models and cross-encoders; develop models for crawling and content understanding; maintain training and evaluation pipelines; improve ML platform workflows and inference optimization; integrate models into production services; apply architectural advances for LLM-integrated systems
Seniority
Senior, hands-on IC
