1 year ago
Remote, United States +2 moreMid Level
H1B sponsor
Base Salary
$165k - $195k/yr
Responsibilities
- Build and enhance core product functionality across image ingestion, annotation, training, and deployment workflows.
- Create filtering interfaces, annotation features, onboarding improvements, and model-assisted labeling capabilities.
- Integrate the core application with external APIs, annotation services, deployed-model analysis tools, Roboflow Universe, and the REST API.
- Develop APIs and client libraries and contribute to browser-based product functionality.
- Automate internal processes, integrate marketing and sales tools, and contribute to open-source projects as needed.
- Optimize application speed and scalability and help improve testing, frontend practices, and engineering processes.
- Advocate for high-priority projects and contribute to engineering strategy decisions.
Requirements
- Technical generalist who is comfortable working across a broad range of projects and learning new stacks or toolchains.
- Ability or enthusiasm to work with JavaScript and Node.js, which make up the majority of the existing codebase.
- Interest in contributing to machine learning and image processing systems built with Python.
- Willingness to share knowledge, improve engineering rigor, and help establish foundations for a growing engineering organization.
- Comfort with a high-autonomy environment and contributing to project prioritization and strategy decisions.
Benefits
- Fully distributed work environment with options to work remotely, from company hubs, or coworking spaces.
- Relocation bonus for working from a company hub.
- Flexible schedule with daytime US operating hours and some required synchronous meetings.
- Travel, productivity, AI tools, team lunch, and home office stipends.
- Health insurance coverage for the employee and eligible partner or family.
- Equity in the company.
- Opportunities for team onsites and in-person collaboration.
Tech Stack
Categories
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.