New Machine Learning Engineer, Infrastructure and Automation

Collaborate with research engineers to build infrastructure to perform research operations and automate the training and optimization of ML models for real-time inference in computer vision applications. Specifically, write frameworks with flexible and modular components to quickly prototype trainings and implement new cutting-edge research ideas. Build robust and fault-tolerant ML pipelines for running inference on large image and video datasets. Leverage your knowledge of deep learning frameworks to optimize trainings in terms of GPU utilization, memory, speed, and accuracy. Design and implement APIs to automate the training and validation of a wide range of ML models for specialized use cases.