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Samsung Electronics America
,
Staines-upon-Thames, Surrey
Senior Engineer - Federated Machine Learning
Overview
Job Description
Position Summary We are currently looking for exceptional AI and ML experts to join our growing team in Staines-upon-Thames. This is a great opportunity to work on next generation mobile devices from Samsung. We need enthusiastic engineer with a strong academic and experience in Machine Learning frameworks and tools. The candidate will contribute to the development and optimisation of privacy-preserving Federated Learning ML frameworks for Samsung embedded devices. Role and Responsibilities As a Federated Machine Learning Engineer you will: * Research and develop scalable, privacy-preserving and federated machine learning framework for Samsung's embedded devices * Develop innovations to optimize Machine Learning frameworks and libraries to enable learning on device and deliver class-leading performance * Analyse Machine Learning models and identify optimisations * Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Skills and Qualifications Required Skills * A degree in Computer Science, Electronics, Natural Science, Mathematics, Engineering or any related discipline (an equivalent period of industrial experience may be substituted). * Experience using Machine Learning frameworks like, TensorFlow, pyTorch etc.) * Excellent programming skills(Python, Java, C or C++ ) * Work experience in audio or vision * Basic experience with Android * Excellent communication, team work and a results-oriented attitude * Proficiency in problem solving and debugging Desirable Skills * Experience with CNN / RNN / Auto Encoders / LTSM * Experience in Differential Privacy and Federated Learning * Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.