Full Stack Engineer (Enterprise)
Builds and improves full-stack features for enterprise computer vision platform, supports customers on-site with travel, and collaborates with field teams. Requires JavaScript/Node.js expertise, Python for ML pipelines, Linux, cloud infra, and adaptability to new tech.
About the job
Responsibilities
- Create new features and improvements across the Roboflow product, including enterprise Jetson inference pipeline.
- Support enterprise customers on-site (factory tours, building customer-specific features for computer vision success).
- Partner with Field Engineering team to improve data collection and insights delivery.
- Work on core product (image ingestion, annotation, training, deployment), marketing/sales integrations, internal automation, open source.
- Advocate for project priorities to increase enterprise customer engagement.
Requirements
- Technical generalist comfortable diving into new stacks/toolchains.
- Strong JavaScript and Node.js (majority of codebase).
- Solid Linux foundation.
- Machine learning/image processing in Python.
- Experience with Firebase, Google Cloud Storage (GCS), AWS (ML infra), Docker.
- Browser code (Tensorflow JS), APIs/client libraries.
- Willingness to travel 1-2 times/quarter for customer on-sites + team meetups.
Nice-to-Haves
- Excitement to learn new skills and share knowledge.
Compensation
- Base salary: $165,000-$195,000 (commensurate with experience).
- $4000/yr travel stipend, $350/mo productivity stipend, $350/mo AI tools stipend, $150/mo team lunch stipend, $500 one-time home office stipend.
- Health insurance (up to 100% coverage), equity.
Skills
JavaScript, Node.js, Python, Linux, Docker, Firebase, GCP, AWS, Tensorflow Js, Computer Vision
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