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A leading technology firm in Staines-upon-Thames seeks an ML Research Engineer to join its AI team. You will drive research in audio and speech processing, developing algorithms for real-world applications. Ideal candidates have a PhD in AI or related fields and strong skills in Python and machine learning frameworks like TensorFlow. This is a hybrid role that balances onsite collaboration and remote work, offering a unique opportunity to contribute to cutting-edge technology deployed to millions of users globally.
Samsung Research UK (SRUK) is seeking 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.
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.