Position Summary
The AI team at Samsung Research UK is looking for interns to join the growing team in Staines-upon-Thames. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for Samsung devices and services. The prospective candidate will have the opportunity to be part of building next generation mobile devices from Samsung. The candidate will contribute to research and software development of on-device AI methods (with focus on speech/audio domain) for their deployment on Samsung’s flagship mobile devices. We encourage enthusiastic researchers with strong academic background and expertise in machine learning to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for on-device AI.Role and Responsibilities
As a Machine Learning - Intern, you will:
Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device machine learning (audio/speech domain)
Actively propose and prototype novel research ideas/solutions considering real-world constraints
Work on complex systems and develop research ideas into production ready software
Incorporate software engineering practices at both research and development stages
Communicate and disseminate research results via papers and/or reports
Skills and Qualifications
Required
Perusing PhD degree in ML/AI, Computer Science/Engineering, Electrical Engineering, Mathematics, Statistics, or related disciplines
Strong fundamentals in machine learning and artificial intelligence
First author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR or similar)
Machine Learning experience in least one of the following domains:
Speech Recognition
Speech Enhancement
Audio Processing and Generation
Generative AI
Demonstrated success:
Strong development skills with Python and/or C/C++ is required.
Experience with programming using popular machine learning frameworks such as PyTorch and/or Tensorflow
Creating comprehensive and well-written documentation.
Familiarity with software engineering practices and tools such as Git
Excellent communication, teamwork and a results-oriented attitude
Proficiency in problem solving and debugging
Desirable
A proven track record of developing complex training and inference pipelines
Knowledge of embedded and/or distributed machine learning methods and tools
Experience with model optimization, profiling and performance improvement of AI pipelines
Experience and knowledge in AI based audio generation and processing
Contribution to open source software libraries
Contract type: 6 month internship
Start date: immediate start (as soon as possible)
Location: Staines-upon-Thames, Surrey, UK
Hybrid Policy: 3 days onsite and 2 days working from home weekly
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Communications House, Staines-Upon-Thames, United Kingdom