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

Beschreibung:

Position Summary
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.

Role and Responsibilities

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

Skills and Qualifications

Required Skills
* 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.

Desirable Skills
* 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 in 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.

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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