Senior Machine Learning Engineer, Search & Index
Wayve · Sunnyvale
Posted 15 days ago · $311,850 to $350,625
or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- Yes 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
The Senior Machine Learning Engineer will be part of the Search & Indexing team at Wayve, focusing on making a large corpus of multimodal video data searchable. Responsibilities include building and operating production search and indexing systems, applying embedding models for retrieval, and developing backend services and APIs. The role emphasizes collaboration with various teams to enhance indexing capabilities and deliver an MVP system quickly.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Competitive equity package
Worth weighing
- No specific salary details provided beyond a range
- Role involves working in ambiguity and exploratory problem spaces
- Focus on delivering an MVP quickly may indicate a fast-paced environment with tight deadlines
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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