Senior Machine Learning Engineer, Search & Index
Core
Build and operate production search and indexing systems at billion-vector scale to make Wayve's multimodal video data discoverable.
Role type
Senior Machine Learning Engineer (Search & Indexing Infrastructure)
Builds
Vector-based and metadata-based retrieval infrastructure for data curation, training set construction, and ML research
Domain
Autonomous driving data infrastructure, multimodal video/sensor data
Deliverable
production ML models | infrastructure
Required skills
vector databases (FAISS, LanceDB), multimodal embeddings, Python, large-scale ingestion pipelines, 0→1 system delivery, backend services/APIs, evaluation frameworks
Preferred skills
distributed data infrastructure, active learning, semantic retrieval, training-data selection, vendor evaluation
Technologies
FAISS, LanceDB, Python
Responsibilities
Build and operate production search systems at billion-vector scale; Apply and evaluate embedding models for semantic and multimodal retrieval; Develop backend services and APIs for vector similarity and metadata-filtered search; Own search components from design through production operations; Build evaluation frameworks for retrieval quality and scalability; Collaborate with ML and Data teams to integrate search into workflows; Support engineer growth through code reviews and mentoring
Seniority
Senior, hands-on IC with architectural ownership
