Position Summary

Samsung Research UK (SRUK) is seeking exceptional and highly motivated Senior 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 role is available on a permanent basis but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35.

Role and Responsibilities

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

• Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing.

• Lead the development of robust and scalable software solutions for deployment on flagship Samsung mobile devices.

• Independently own and deliver significant components of complex research projects, from initial concept to production readiness.

• Design, implement, and maintain high-quality, well-documented code, adhering to best software development practices.

• Collaborate closely with a multi-disciplinary team of researchers and engineers, providing technical guidance and mentorship.

• Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects.

• Contribute to the development of internal tools and infrastructure to support research and development efforts.

Skills and Qualifications

Required Skills

• MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline.

• Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus).

• Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics.

• Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and natural language processing.

• Proficiency with machine learning frameworks such as TensorFlow or PyTorch.

• Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies.

• Excellent communication, collaboration, and problem-solving skills.

• Demonstrated ability to translate research ideas into practical, production-ready solutions.

Desirable Skills

• Experience with in generative AI, particularly in the context of audio/speech technologies.

• A strong publication record in top-tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR).

• Experience with open-source speech processing toolkits (e.g., Hugging Face Transformers, SpeechBrain, ESPnet, Kaldi, NeMo).

• Experience developing and deploying AI models on Android mobile platforms.

• Proven experience in building and maintaining large-scale, distributed training pipelines.

• Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

Employee Benefits (applicable for permanent employees only):

• Highly competitive salary with performance bonus up to 21.5%.

• Employer pension contributions of 8.5%.

• 25 days paid holiday (increasing to 30 with time served).

• Life assurance, medical insurance, and income protection.

• Flexible benefits scheme with £600 annually to spend on benefits.

• Samsung product discounts, subsidised employee restaurant, and free parking.

Location and Hybrid Working:

• 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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