Full Stack Engineer
Build and maintain core computer vision platform handling image processing, annotation, training, and deployment. Work across full stack with JavaScript/Node.js, Python ML pipelines, cloud infra; contribute to scaling processes in distributed team.
About the job
Responsibilities
- Work on core product: end-to-end pipeline for computer vision projects (image ingestion, annotation, training, deployment).
- Integrate marketing/sales tools, automate internal processes, contribute to open source.
- Advocate for project priorities and contribute to strategy.
- Add rigor to processes: implement tests, adopt opinionated front-end framework for scaling.
Example Projects:
- Create filtering interface for images based on metadata (time, GPS, tags).
- Expand annotation tool (polygonal annotations, image segmentation).
- Integrate with external APIs for annotation tasks and model performance.
- Streamline onboarding flow.
- Deeper integrations with Roboflow Universe and REST API.
- Next-generation model-assisted labeling.
- Optimize speed and scalability.
Requirements
- Technical generalist comfortable diving into new stacks/toolchains.
- Excited to learn new skills and share knowledge.
Compensation
- Base salary: $165,000 - $195,000.
- $4000/yr travel stipend.
- $350/mo productivity stipend.
- $350/mo AI tools stipend.
- $150/mo team lunch stipend.
- $500 one-time home office stipend.
- Up to 100% health insurance coverage.
- Equity.
Skills
JavaScript, Node.js, Python, Firebase, GCP, AWS, Docker, Tensorflow Js, React, REST APIs
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