Software Engineer, Data Visualization
Company websitebuild.ai (Build AI, opens in new tab)
Base salary $180K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (56 min ago) · observed since
About this job
About Build AI
Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.
Job Summary
We’re hiring someone to make it incredibly easy to see the dataset, collection, quality, and evals. You will build the analysis and visualization layer — from capture through slices, examples, and live pipeline health — so people look at the data instead of dumping to a notebook. If someone has to wait on you for a plot, the product is not done.
Key Responsibilities
Design and ship a visualization suite: data collection, processing, analysis, and UI (web and/or CLI) for the dataset and the data engine
Make looking at examples, batches, coverage, quality, and failures fast enough that research and ops actually do it
Build views for collection health, taxonomy coverage, and eval results, wired to live pipelines rather than one-off dashboards
Work with Head of Dataset & Quality, Evals Lead, research, and ops on what must be visible to make a decision
Treat viz as a product: latency, defaults, shareability, and a bar for how we look at video and pose
You may be a good fit if you have (Must-have qualifications)
Strong software engineer with a track record of data viz, internal tools, or product UI on heavy data
You care about making other people faster, not only about a pretty demo
Comfortable with large media — video, pose, or similar
Fine in a 0→1 environment where “everything” is still being defined
Strong candidates may also have experience with (Nice-to-have qualifications)
WebGL, custom renderers, or high-performance browser viz
You have shipped internal tools that other teams live in
Experience building analysis UIs (timelines, slice explorers, statistical summaries)
Python plus TypeScript/React
Benefits
Competitive pay
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)
Various wellness benefits covering fitness, mental health, and more
Daily lunch and dinner in our office
Unlimited compute budget subject to ROI justification
Unlimited Codex and Claude credits
Travel
How we're different
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: [email protected]
Source: Build AI on Ashby · View original posting (opens in new tab)
This listingSoftware Engineer, Data Visualization$180K to $300K
Software Engineer, Scaling$180K to $300K
Software Engineer, Generalist$180K to $300K
Data Scientist, Marketplace Incentives$180K to $280K
Head of Data Compliance$160K to $250K
ML Engineer, Inference Optimization$200K to $320K
Product Lead$200K to $300K
Chart as a table
| Role | Published base |
|---|---|
| Software Engineer, Data Visualization (this listing) | $180K - $300K |
| Software Engineer, Scaling | $180K - $300K |
| Software Engineer, Generalist | $180K - $300K |
| Data Scientist, Marketplace Incentives | $180K - $280K |
| Head of Data Compliance | $160K - $250K |
| ML Engineer, Inference Optimization | $200K - $320K |
| Product Lead | $200K - $300K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-30
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 180,000 – 300,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.