Position: Associate

Job type: Full-time

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Job Ad

Our client is looking for exceptional research software engineers to join the growing team in West London. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for tech devices and services. The successful candidate will contribute to software development and research of new functionalities or enhancing current pipelines on flagship mobile devices. We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply.

As a Research Software Engineer,you Will
  • Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance.
  • Maintain knowledge of current and future software development tools and techniques for machine learning and AI research.
  • Develop novel methods to improve on-device system performance, model size and accuracy.
  • Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on Mobile devices.
Skills And Attributes
  • MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted).
  • Professional software development experience with C++/ Python is required.
  • Performing test-driven development.
  • Participating in regular code reviews.
  • Developing and maintaining reproducible build systems.
  • Familiarity with software engineering practices and tools such as Git, CI, Agile, etc.
  • Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required.
  • A proven track record in AI model development and deployment (on embedded devices is a plus).
  • Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus).
  • Research and development expertise of speech processing, and language modelling (e.g. speech recognition, NLP/NLU etc.)
  • Publications in top ML/AI conferences (e.g. ICML, NeurIPS, Interspeech, SysML or similar).
  • Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.
  • The company in question offers excellent opportunities for progression and development.
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Deadline: 14-06-2024

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