The role We are hiring a Senior Machine Learning Engineer for our Search & Indexing team, responsible for making Wayve’s massive corpus of multimodal video data discoverable and searchable. This team builds the indexing …
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$312k–$351k/yr
Full-time
Competitive equity package
Posted 11d ago
~40 hrs/week
Responsibilities
You will build and operate production-scale search and indexing systems for multimodal video data. You will also collaborate with ML and platform teams to integrate these search capabilities into training, curation, and evaluation workflows.
Requirements
The role requires 7+ years of experience in backend or ML systems with strong proficiency in Python and vector database technologies. Candidates must demonstrate the ability to deliver 0-to-1 systems in ambiguous environments and possess a deep understanding of multimodal embeddings.
Full job description
The role
We are hiring a Senior Machine Learning Engineer for our Search & Indexing team, responsible for making Wayve’s massive corpus of multimodal video data discoverable and searchable. This team builds the indexing infrastructure that powers vector-based and metadata-based retrieval - enabling high-leverage workflows across data curation, training set construction and ML research.
You’ll work closely with the Technical Lead and peers to scale, and evolve the system that supports retrieval across hundreds of thousands of hours of driving data. You’ll contribute to architectural decisions, own complex components, and help define best practices as the team grows.
You’ll play a key role in launching the next version of our indexing stack, supporting basic similarity search and metadata filtering across hundreds of thousands of hours of video and sensor data. The immediate focus is to move quickly: leverage off-the-shelf tools, help inform build vs. buy decisions, and deliver an MVP system in months - not quarters.
This role requires someone who is comfortable in ambiguity, technically pragmatic, and able to make strong architectural decisions in imperfect conditions. You’ll collaborate with ML teams, platform engineers, and downstream users to turn indexing from a bottleneck into a core capability.
Key Responsibilities
Build and operate production search and indexing systems at billion-vector scale.
Apply and evaluate embedding models for semantic and multimodal retrieval, including inference, normalization, versioning, and integration.
Build evaluation frameworks to measure retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability, and cost.
Develop backend services and APIs for vector similarity and metadata-filtered search.
Own search components from design and implementation through deployment and production operations.
Collaborate with ML, Data, and Evaluation teams to integrate search into training, curation, and evaluation workflows.
Support the growth of other engineers through code reviews, technical guidance, knowledge sharing, and mentoring.
About you
In order to set you up for success at Wayve, we’re looking for the following skills and experience:
Essential
7+ years of experience in backend, infrastructure, or ML systems, building production systems.
Experience with vector databases or ANN technologies such as FAISS, LanceDB, or similar open-source solutions.
Strong understanding of multimodal embeddings and experience evaluating search quality across relevance, recall, filtering accuracy, and performance.
Strong coding skills in Python or other systems languages
Experience building search services, APIs, and large-scale ingestion and indexing pipelines.
Experience delivering 0→1 systems in ambiguous or exploratory problem spaces.
Comfortable working across system boundaries (infra, ML, data curation)
Desirable
Experience with large-scale ML pipelines or distributed data infrastructure.
Familiarity with multimodal data, including video, images, sensor data, and metadata.
Exposure to active learning, semantic retrieval, or training-data selection workflows.
Prior experience in autonomy, robotics, or large-scale data infrastructure
Experience evaluating technical vendors and working with external technology providers.
#LI-HH1
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $311,850 to $350,625, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve, we’re building a global driving intelligence that learns from data and scales across different vehicles and geographies.
Founded in 2017, we have pioneered an end-to-end AI approach to autonomous driving that is faster to deploy, more flexible by design and built to scale.
We deliver all levels of autonomy, from hands-off and eyes-off driving, to robotaxis. We license and integrate the Wayve AI Driver as a vehicle-agnostic software platform that runs entirely on onboard vehicle compute and native sensors.
Wayve is the first and only AV company to test a single global AI Driver model across more than 500 cities in Europe, North America and Japan.
We’re building autonomy for anyone, in any vehicle, anywhere.
Offices: ., London, United Kingdom, GB · 709 N Shoreline Blvd, Mountain View, California 94043, US
How much do Engineering jobs in Sunnyvale, CA pay?
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