Job Title: Full Stack Engineer

Company Name: Roboflow

Job Url: https://simplify.jobs/jobs?query=Full+stack&state=North+America&points=83%3B-170%3B7%3B-52&experience=Mid+Level%3BSenior&category=AI%2FML%2FGenAI+Engineering%3BBackend+Engineering%3BFrontend+Engineering%3BFull-Stack+Engineering%3BSoftware+Engineering&mostRecent=true&jobId=2ec34342-c13e-449e-9d36-8af78c5df425&workArrangement=Remote

Job Description: Full-Time


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Full Stack Engineer
Updated on 4/8/2026

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Roboflow
51-200 employees

SaaS platform for computer vision modeling

Compensation Overview
$165k - $195k/yr

Mid

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

Remote

Category

Software Engineering
(1)

Full-Stack Engineering
Required Skills
Skills that you prefer have been highlighted

JavaScript
Node.js





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Summary
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Requirements
Proficiency in JavaScript and Node.js as the brunt of the existing codebase.
Responsibilities
Be a technical generalist capable of diving into a new stack or toolchain as needed; contribute to a wide range of projects across the core product, which is an end-to-end pipeline for building computer vision projects spanning image ingestion to annotation to training and deployment, and occasionally work on integrating marketing and sales tools, automating internal processes, and open source projects.
Advocate for which projects should be highest priority and contribute to strategy decisions; work without a rigid multi-month roadmap.
Desired Qualifications
Experience learning and sharing new skills to help level-up the team; ability to contribute to process improvements such as adding tests and establishing an opinionated front-end framework as the team scales.
Experience with Python for machine learning and image processing pipelines.

Keyword Match
Needs Work - 6 out of 16 found

Roboflow

Website
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Roboflow provides a cloud platform for building and deploying computer vision models. It lets developers manage image and video data, annotate datasets with model-assisted labeling, apply preprocessing and augmentation, train models with a click, and deploy via API or on edge devices. It differentiates itself by covering the full CV workflow in one platform, offering tools for data management, labeling, training, and deployment, plus edge support and a freemium model that serves individuals and large teams. The goal is to make computer vision accessible and accelerate how teams build, train, and deploy CV models safely and at scale.

Company Size

51-200

Company Stage

Series B

Total Funding

$62.2M

Headquarters

Des Moines, Iowa

Founded

2020