Senior Machine Learning Engineer, Search & Index
Core
Design, build, and operate a search and indexing platform for hundreds of thousands of hours of video and sensor data, scaling beyond 10B vectors to support data curation, training set construction, and ML research.
Role type
Senior IC machine learning engineer (search & indexing infrastructure)
Builds
Production search and indexing systems, ingestion pipelines, and backend services for vector similarity and semantic retrieval
Domain
Autonomous driving, multimodal data, vector databases, ANN
Deliverable
production ML models
Required skills
Python, vector databases, ANN technologies, multimodal embeddings, search APIs, large-scale ingestion pipelines, 0→1 system delivery
Preferred skills
distributed data infrastructure, active learning, semantic retrieval, technical vendor evaluation
Technologies
FAISS, LanceDB, vector databases, ANN libraries
Responsibilities
Design and operate search/indexing systems at billion-vector scale; build ingestion pipelines for video/sensor data; develop backend services for vector similarity and semantic retrieval; evaluate embedding models and retrieval quality metrics; integrate search into training and research workflows
Seniority
Senior, hands-on IC
