Machine Learning Research Engineer - Speech/Audio/Gen-AI - 6 Month Fixed Term Contract

Samsung Research UK (SRUK) is seeking an exceptional and highly motivated ML Research Engineer to join our growing AI team in Staines‑upon‑Thames. We are at the forefront of developing innovative technologies for future Samsung devices and services, and this role offers a unique opportunity to shape the next generation of mobile experiences. You will be instrumental in translating cutting‑edge research into real‑world impact, working on challenges that demand both creative problem‑solving and robust engineering practices.

This is a chance to contribute to a dynamic team, pushing the boundaries of what’s possible in AI for mobile, and to see your contributions deployed to millions of users worldwide. We encourage applications from individuals with a strong academic background and proven expertise in the development of complex audio and speech‑related applications. You will have the opportunity to expand your expertise within a challenging and rewarding environment.

This is a 6‑month fixed‑term contract and we are looking for someone who can start the role as soon as possible. It would suit either a PhD student looking for an internship or a PhD holder looking for a fixed‑term contract.

As a Machine Learning Research Engineer in Speech/Audio/Gen‑AI, you will:

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• Conduct independent research in audio and speech processing, focusing on areas such as signal processing, machine learning, and deep learning.
  
• Design, develop, and implement innovative algorithms and systems for audio/speech analysis, enhancement, separation, and understanding.
  
• Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability.
  
• Collect, analyze, and prepare data for training and evaluating machine learning models, and contribute to dataset creation and curation.
  
• Evaluate the performance of algorithms and systems through rigorous experimentation and statistical analysis.
  
• Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.
  
• Contribute to the dissemination of research results through publications in top‑tier conferences and journals.
  

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• PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, or a related discipline.
  
• Strong programming skills in Python, with experience in developing and debugging complex software systems. Proficiency in C++ is a plus.
  
• Solid understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics.
  
• Proven research experience in audio and speech processing, demonstrated through publications in top‑tier conferences and journals (e.g., ICML, NeurIPS, ICLR, INTERSPEECH, ICASSP, IEEE/ACM TASLP).
  
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
  
• Strong analytical and problem‑solving skills, with the ability to design and conduct rigorous experiments.
  
• Excellent communication and teamwork skills.
  

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• Experience with audio signal processing techniques and tools (e.g., filter design, spectral analysis).
  
• Experience with speech recognition, text‑to‑speech, speech enhancement or natural language processing technologies.
  
• Experience with generative AI, particularly in the context of audio/speech technologies.
  
• Experience with version control systems (e.g., Git) and software development best practices.
  
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
  
• Experience with large‑scale data processing and distributed computing.
  

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• The role is based at Samsung R&D Institute in Staines‑upon‑Thames, Surrey, UK.
  
• Samsung currently operates a hybrid working policy of 3 days onsite and 2 days working from home weekly.
  

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.

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