Drimva

Wayve

Senior Machine Learning Engineer, Search & Index

$312K–$351K

Sunnyvale, California USA · Hybrid · Senior · Full-time · Posted Oct 5, 2026

Experience
7+ years in backend, infrastructure, or ML systems building production systems.
Visa sponsorship
Visa sponsorship where applicable.

About the job

Design, build, and operate a scalable search and indexing platform that makes multimodal driving data discoverable for curation, training, and research.

What you'll do

  • Build and run search services, APIs, and ingestion and indexing pipelines for video, sensor, embedding, and metadata data.
  • Evaluate and integrate embedding models, vector databases, ANN libraries, and vendors; develop frameworks to measure retrieval quality and system performance.
  • Own components from design to production, collaborate across teams, and support engineers through code reviews and mentoring.

What they ask for

  • 7+ years in backend, infrastructure, or ML systems building production systems.
  • Hands-on experience with vector databases or ANN technologies such as FAISS or LanceDB.
  • Understanding of multimodal embeddings and experience evaluating search quality.
  • Strong coding skills in Python or another systems language; experience building search services, APIs, and large-scale ingestion and indexing pipelines.

Nice to have

  • Large-scale ML pipelines or distributed data infrastructure.
  • Multimodal data, active learning, semantic retrieval, training-data selection, autonomy, robotics, or vendor evaluation experience.

Pay

USD $311,850 – $350,625 (base salary)

Tools

Python, FAISS, LanceDB

AI focus

Build search and indexing infrastructure for multimodal driving data, including embedding-based retrieval and data workflows supporting ML research and training.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)