Software Engineer, Data Visualization
build-ai · San Francisco
Job description
About the role
We’re hiring a Software Engineer to build an easy‑to‑use visualization suite for our dataset, collection, quality, and evaluation pipelines. The role focuses on turning raw data into interactive views so researchers and operations can quickly assess data health without resorting to notebooks.
Key responsibilities
- Design and ship a visualization suite covering data collection, processing, analysis, and UI (web and/or CLI) for the dataset and data engine.
- Enable fast inspection of examples, batches, coverage, quality, and failures to support research and operations.
- Build live views for collection health, taxonomy coverage, and evaluation results, integrated with pipelines.
- Collaborate with Head of Dataset & Quality, Evals Lead, research, and ops to define visible metrics for decision‑making.
- Treat visualization as a product, optimizing latency, defaults, shareability, and support for video and pose data.
Required profile
- Strong software engineer with a track record of data visualization, internal tools, or product UI on heavy data.
- Passion for making others faster rather than just creating pretty demos.
- Comfortable handling large media such as video or pose data.
- Effective in a 0→1 environment where many definitions are still evolving.
Required skills
- Python
- TypeScript
- React
- WebGL or custom high‑performance browser rendering
What we offer
- Competitive salary
- Medical, dental, and vision coverage with generous premiums
- $500 monthly credit for waiving medical benefits
- Housing subsidy of $2,000 per month for nearby residents
- Relocation support to San Francisco or Shenzhen
- Daily lunch and dinner on‑site
- Unlimited compute budget subject to ROI justification
- Unlimited Codex and Claude credits
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Published 1 hour ago
Expires 1 month from now
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build-ai
San Francisco