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Roboflow

SaaS platform for computer vision modeling

Member of Technical Staff

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Practical experience with agents, evaluations, or reinforcement learning workflows.
  • A strong technical background.
  • Strong written communication.

Responsibilities

  • Design and build reinforcement learning environments, evaluations, and datasets targeting high-value gaps in frontier model capability.
  • Develop internal platforms and supporting infrastructure to run hundreds of thousands of tasks at scale, with the required throughput, reproducibility, and observability.
  • Collaborate directly with researchers and engineers at leading AI labs to scope and shape dataset development against their model roadmaps.
  • Build grading harnesses, metrics, and automated checks to measure the quality of environments and datasets.
  • Prototype quickly, then harden successful prototypes into production systems others can run independently.
  • Contribute to open-source projects where doing so accelerates the broader community.

Desired Qualifications

  • Experience with computer vision or multimodal models, or prior work with an AI lab as a data or evaluation partner.

About the Company

Roboflow

SaaS platform for computer vision modeling

Roboflow provides a cloud platform that streamlines the full computer vision workflow for developers. It lets users upload image and video data, annotate datasets (including model-assisted labeling), apply preprocessing and augmentation, and train models with a single click, then deploy via API or on edge devices. The service uses freemium and subscription pricing with a free public tier and paid plans that add privacy, features, and support, plus usage credits for training, storage, and inference. Its goal is to make computer vision accessible and usable for individual developers and larger teams alike, including many Fortune 100 companies.

Company size
51-200
Company stage
Series B
Total funding
$62.2M
Headquarters
Des Moines, IA
Founded
2020

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