As an Application Engineer, you will be responsible for designing and implementing user interfaces and APIs for edge-based machine learning applications. You will be working in our Platforms team and the UIs/APIs that you develop will be used by machine learning and software engineers to deploy neural network models in an optimal way to edge devices such as embedded and mobile.

MINIMUM QUALIFICATIONS AND REQUIREMENTS

• 3+ years working on user interface and API/SDK design
• Familiarity with the underlying hardware of edge/mobile devices
• Solid programming experience in (eg) Java/C++/Python
• Familiarity with version-control tools such as Git
• Understanding of machine learning concepts
• Knowledge of ML frameworks such as TensorFlow/PyTorch
• Ability to develop with ML frameworks under Android NN SDK or iOS CoreML.
• Experience developing product-ready user interfaces
• Deployment of applications to Android/iOS
• Ideally, you will have familiarity with fast incremental learning on edge devices

Dergoni CV ne: [email protected]