Dexterity delivers full-stack robot dexterity solutions for logistics, warehousing, and supply chain operations. In this role, you will be responsible for building and optimizing Machine Learning models, particularly in computer vision, while also managing the ML pipelines to enhance performance and accuracy.
Responsibilities:
- Building Machine Learning models for computer vision
- Understanding current systems and their limitations
- Augmenting and developing ML models
- Updating and scaling current ML pipelines to cover more scenarios and improve accuracy
- Leveraging expertise around semantic segmentation and instance segmentation
- Keeping up to date with the latest developments in these areas and implementing them using platforms like Pytorch and Tensorflow
- Finding and perfecting the right model(s) and architecture
- Identifying key problems throughout the system that can be solved with machine learning
- Gathering, augmenting, labeling data and curating datasets
- Studying performance and optimizing quality of the model
- Training, deploying and troubleshooting models on the field