6 hours ago
Base Salary
$250k - $450k/yr
Responsibilities
- Design, build, and own the Labs data platform, including client-facing catalog and delivery portals, contributor collection and payout tooling, and shared data foundations.
- Build reliable pipelines to ingest, validate, package, and ship datasets with provenance, rights tracking, and audit trails.
- Automate dataset-quality processes including consensus, review routing, fraud detection, duplicate detection, and quality metrics.
- Partner with Strategic Projects Leads and operators to turn deliveries into reusable infrastructure.
- Integrate with Roboflow’s core platform and open-source tooling.
- Set engineering standards for architecture, code review, observability, on-call, and release practices.
Requirements
- 6+ years building production software, with depth in backend systems, data pipelines, or full-stack engineering.
- Experience designing systems that process large volumes of data reliably.
- Strong product judgment and a high-agency, action-oriented approach to zero-to-one development.
- Preferred experience with annotation or human-data platforms, payout marketplaces, ML training-data pipelines, or computer-vision tooling.
Benefits
- Target base salary of $250,000–$450,000 plus equity.
- Stipends for travel, productivity, tools, meals, and office expenses.
- Up to 100% of health insurance costs covered.
- Unlimited PTO with an annual two-week minimum.
- 12 weeks of parental leave.
- Roboflow is globally distributed, while Roboflow Labs works in person in San Francisco; the company hosts full-company retreats twice per year.
Categories
Data EngineeringFull Stack
About Roboflow
Roboflow provides SaaS developer tools for computer vision, covering dataset management, annotation, preprocessing, model training, and deployment via API or to edge devices. The platform is used by over 1 million developers and teams in industries like manufacturing, logistics, retail, and research. The privately held, remote-first company raised a Series B in 2024.