Senior ML Engineer - Hybrid Search & Vector Indexing

Wayve; Sunnyvale (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Equity and stock options

Relocation support

Job summary

Wayve is hiring for a Senior Backend/ML Systems engineer to architect and scale the search and indexing platform for billions of vectors and multimodal data. You will own end-to-end components, design ingestion pipelines, and deliver API-backed services for vector similarity and metadata filtering.

You will collaborate with ML, data, evaluation and platform teams, mentor engineers, and move fast in a hybrid Sunnyvale setup that combines office time with remote work when possible.

Qualifications

• 7+ years in backend, infra or ML systems building production systems.
• Hands-on experience with vector databases or ANN technologies such as FAISS, LanceDB or similar.
• Understanding multimodal embeddings and evaluation of search quality across relevance and performance.

Responsibilities

• Design, build and operate the search and indexing platform for data at scale (hundreds of thousands of hours of video and sensor data).
• Own complex components from design through production and mentor other engineers.
• Develop ingestion and indexing pipelines for video, sensor data, embeddings and metadata.
• Create backend services and APIs for vector similarity, semantic retrieval and metadata-filtered search.

Skills

Backend systems

ML systems

Vector databases

FAISS

LanceDB

Python

Distributed data pipelines

Tools

FAISS

LanceDB

APIs

Job description

Wayve is hiring for a Senior Backend/ML Systems engineer to architect and scale the search and indexing platform for billions of vectors and multimodal data. You will own end-to-end components, design ingestion pipelines, and deliver API-backed services for vector similarity and metadata filtering.

You will collaborate with ML, data, evaluation and platform teams, mentor engineers, and move fast in a hybrid Sunnyvale setup that combines office time with remote work when possible.