Deep Learning Infrastructure Engineer

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 infra to help us scale up.

Responsibilities

• Working on automating 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
• Tooling around active learning to improve models over time and avoid model drift

Helpful Experience

• Having deployed models to several platforms including edge devices and cloud
• Experience with Jetson Jetpack and/or Triton Inference Server
• Managing TensorRT or ONNX deployments
• Having managed an end to end deep learning project from data collection to deployment
• Experience with Docker
• Experience with Python/C++