The Job
At Overview we are building an end-to-end computer vision platform to democratize manufacturing’s access to state of the art deep learning. Delivering on reliable and accurate models is a key component of this. We are looking for someone who knows the ins and outs of DL infrastructure.
Hands on responsibilities will include
- Implement a high-efficiency CV/DL pipeline, including identifying and solving for bottlenecks
- Choosing and implementing the best tools to strengthen our pipeline
- Collaborate with our DL engineers to get high performing models into customers hands
- Build, manage, scale our training pipeline
- Developing tools that monitor models to ensure long term stability and accuracy
- Figure out how to built models that don’t drift, can adapt to changes, etc…
Helpful Experience
- Having deployed models to several platforms including edge devices and cloud
- Having managed an end to end deep learning project from data collection to deployment
- Experience with Docker
- Experience with Python/C++