Roboflow
Forward Deployed Engineer
$180K–$250K
NY, SF or Remote (US) · Remote · Full-time · Posted May 18, 2026
- Experience
- Meaningful experience deploying technology in physical-world environments; hands-on production ML or computer vision deployment experience. No years specified.
About the job
Takes validated computer vision proofs of concept into production by embedding with customers, deploying edge-based systems, and handing off operational solutions.
What you'll do
- Build initial production deployments, including data pipelines, model optimization, edge-device configuration, and customer-infrastructure integration.
- Troubleshoot and operate computer vision systems on edge hardware in real-world environments; identify deployment risks and alternatives.
- Document deployments, train customer teams, hand off solutions, and relay customer needs to Product and Engineering.
What they ask for
- Strong proficiency in Python.
- Hands-on experience deploying machine learning or computer vision models to production.
- Experience with edge computing hardware and constraints, such as NVIDIA Jetson, industrial cameras, limited connectivity, or on-premise security requirements.
- Willingness to travel ~40–50% for on-site customer deployments.
Nice to have
- Experience in professional services, deployment engineering, or forward deployed engineering.
- Familiarity with CV/MLOps tooling and practices, such as model versioning, monitoring, and retraining pipelines.
Pay
$180,000–$250,000 USD base salary
Tools
Python, Docker, Kubernetes, networking, Linux, NVIDIA Jetson
AI focus
Deploys machine learning and computer vision models into production, including real-world model optimization and operation on edge hardware.
Model-written summary · the original posting is authoritative