Roboflow Series B
Forward Deployed Engineer
San Francisco, CA On-site Added Jun 30
About the role
WHO WE ARE
Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.
We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s computer vision AI open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.
Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.
Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We’re curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment.
WHAT YOU’LL DO
We’re hiring Forward Deployed Engineers (FDEs) to be the first technical hands on our new customer’s Roboflow deployments. After our Sales and Solutions Architecture team closes a deal and validates the technical approach, you step in to take it from proof-of-concept to production, the critical 0-to-1 phase where vision meets reality.
You’ll embed directly with new Customers, working alongside their engineering and operations teams to build and deploy their first production computer vision workflows on Roboflow. This is the most difficult, important and rewarding phase of the customer journey. Infrastructure is unfamiliar, data pipelines need to be built, edge devices need to be configured, and models need to perform in real-world conditions, not just in a demo or a lab.
Industry
AI / Computer Vision Platform
Top skills for this role
- Computer vision production deployment end-to-end
- 2. Edge AI and cloud model deployment
- 3. Customer-embedded technical delivery from POC to production
Languages
PythonJavaScript
Frameworks & tools
Computer vision toolingedge deploymentREST APIslabeling pipelines
AI / ML skills
Computer visionobject detectionimage segmentationmodel trainingedge AI
Customer skills
Customer-facing production deployment, 0-to-1 delivery, technical embedding with engineering teams
Domain knowledge
Manufacturing inspection, retail AI, logistics, autonomous systems, industrial computer vision
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