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Roles
Location
San Francisco, CA (On-site)
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- On-site in San Francisco.
- Remote scope
- onsite
Role details
Responsibilities
- Build the customer-facing application
- Scale internal tooling
- Design data pipelines that move CAD and vision data at scale
- Take features from concept to production
- Work across the stack, from frontend UIs to data pipelines
Requirements
- Care deeply about user experience and can independently take a feature from concept to production
- Comfortable moving up and down the stack, from frontend UIs to heavy data pipelines
- No background in graphics or ML required, but excited to dive deep into the math and physics behind core tech
Application
If this sounds interesting, send me an email ben@bucket.bot
- Apply flow
Company context
Automation-first: replace slow legacy processes with instant AI inspection by turning CAD files into production-ready computer vision models
- Product
- Turns CAD files into production-ready computer vision models for defect detection
- HQ
- San Francisco, CA
- Stage
- YC S24
Contact
ben
ben@bucket.bot
Description
Bucket Robotics turns CAD files into production-ready computer vision models that detect defects instantly with zero manual labeling and no multi-month pilots. We are automation-first, replacing slow legacy processes with instant AI inspection. As an early full-stack hire, you will own a massive surface area. You’ll be responsible for building our customer-facing application, scaling our internal tooling, and designing the data pipelines that move CAD and vision data at scale. This isn't just a "CRUD app" role. You’ll work closely with our core tech and have the opportunity to become a domain expert in radiometry, machine learning, and computer graphics. What We’re Looking For: - Product-Minded Engineer: cares deeply about user experience and can independently take a feature from concept to production. - Systems Thinker: comfortable moving up and down the stack, from sleek frontend UIs to heavy data pipelines. - Curious & Adaptive: no background in graphics or ML required, but excited to dive deep into the math and physics behind core tech. On-site: Joining our team in San Francisco.
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