Machine Learning Research Engineer - Advanced Research - Speech / NLP

Key Skills

Java Programming, Analytical and Problem solving, Design, Python Programming, C++, Framework, SQL, Agile methodologies, Git, Machine learning techniques, Deep Learning, Natural Language Processing (NLP), PyTorch, TensorFlow, Statistics, Data Modelling, NeurIPS, Natural Language Understanding-NLU, Mathematics

Job Description

The AI team at Samsung Research UK is looking for exceptional research software engineers 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 software development and research of new functionalities or enhancing current pipelines on Samsung’s flagship mobile devices. We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio, speech, NLP and vision related applications 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 and personalised ML.

The role is based at the Samsung R&D Institute in Staines-upon-Thames, Surrey. UK. We operate a hybrid working policy within which a standard working week is 3 days working from the office and 2 days working from home.

Role and Responsibilities

As a Research Engineer, you will:

• Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance.
• Understand and address software engineering questions that arise in research planning.
• 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 and accuracy.
• Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on Samsung devices.
• Have technical responsibility for one or more significant sections of the assigned research project.
• Translate complex functional and technical requirements into detailed design.
• Disseminate research output in top tier conferences and journals.

Skills and Qualifications

Required Skills

• PhD degree in Computer Science/Engineering, Electrical Engineering, Mathematics, Statistics, or related disciplines (an equivalent period of industrial experience may be substituted).
• Research and development expertise of speech processing, language modelling and computer vision (e.g. speech recognition, NLP/NLU, semantic segmentation etc.)

Demonstrated success:

• Professional software development experience with C++/ Python is required.
• Consistently using conventional and readable coding style.
• Performing test-driven development.
• Creating comprehensive and well-written documentation.
• Participating in regular code reviews.
• Developing and maintaining reproducible build systems.
• Familiarity with software engineering practices and tools such as Git, CI, Agile, etc.
• Knowledge of fundamentals of machine learning and deep-learning concepts such as model optimization, compression, personalisation and/or incremental learning is required.
• Publications in top ML/AI conferences or journals (e.g. ICML, NeurIPS, ICLR, CVPR, ACL, EMNLP, Interspeech or similar).
• 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 PyTorch/Tensorflow is a plus).
• Excellent communication, team work and a results-oriented attitude.
• Proficiency in problem solving and debugging.

Desirable Skills

• Expertise in deploying AI on Android.
• Contribution to open source ML frameworks such as – PyTorch, TensorFlow, TensorFlow Lite, etc.