W

Wayve

End-to-end autonomous-driving software for vehicles

Senior Machine Learning Engineer - Search & Index

Backend EngineeringUpdated on Nov 9
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • At least 7 years of experience in backend, infrastructure, or machine learning systems, building production systems.
  • Hands-on experience with vector databases or approximate nearest neighbor technologies such as FAISS or LanceDB.
  • Understanding of multimodal embeddings and experience evaluating search quality across relevance, recall, filtering accuracy, and performance.
  • Strong coding skills in Python or another systems language.
  • Experience building search services, APIs, and large-scale ingestion and indexing pipelines.
  • Experience delivering 0-to-1 systems in ambiguous problem spaces.
  • Ability to work across infrastructure, machine learning, and data curation.

Responsibilities

  • Design, build, and operate the search and indexing platform for hundreds of thousands of hours of video and sensor data, scaling beyond 10 billion vectors.
  • Work with the Technical Lead on architecture, own complex components from design through production, and help decide what to build versus buy.
  • Use off-the-shelf tools to deliver a minimum viable product in months rather than quarters.
  • Work with machine learning, data, evaluation, and platform teams, and support other engineers through code reviews and mentoring.
  • Build production search and indexing systems at billion-vector scale.
  • Develop ingestion and indexing pipelines across video, sensor data, embeddings, and metadata.
  • Build backend services and APIs for vector similarity, semantic retrieval, and metadata-filtered search.
  • Evaluate and integrate embedding models, vector databases, approximate nearest neighbor libraries, and external vendors.
  • Build evaluation frameworks to measure retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability, and cost.
  • Integrate search into training-set construction, data curation, and research workflows.

Desired Qualifications

  • Experience with large-scale machine learning pipelines or distributed data infrastructure.
  • Experience with multimodal data, including video, images, sensor data, and metadata.
  • Experience with active learning, semantic retrieval, or training-data selection workflows.
  • Experience in autonomy, robotics, or large-scale data infrastructure.
  • Experience evaluating technical vendors and working with external providers.

About the Company

Wayve

End-to-end autonomous-driving software for vehicles

Wayve provides end-to-end autonomous-driving software for automakers and fleets that runs entirely on onboard compute and sensors, without relying on HD maps or city-by-city engineering. The system uses foundation models capable of zero-shot driving and has demonstrated ability to drive across 500+ cities in Europe, North America, and Japan. Unlike traditional AV stacks that depend on mapped data and per-city customization, Wayve aims to generalize driving with its onboard AI across diverse environments. Its goal is to scale commercial robotaxi trials from 2026 and bring supervised autonomy to consumer vehicles from 2027, backed by substantial funding partnerships to support rapid deployment.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.6B
Headquarters
London, United Kingdom
Founded
2017

Recently Posted Jobs

Explore more opportunities at Wayve

See more jobs