Position Summary Samsung is the world’s leading manufacturer of digital TV products, and at SRUK we are continually pushing the boundaries of technology to develop innovative and exciting features for our customers. SRUK designs and develops key components of Samsung’s flat panel digital television product range. Our software is deployed in products destined for European and worldwide markets. We have many years of experience with DVB broadcast systems, IPTV, interactive TV and on device AI technologies. We are continually looking to expand our expertise into new markets. The successful applicant will be joining an experienced and enthusiastic team with a friendly and supportive working culture. We are looking for a talented Artificial Intelligence expert to join our team and help develop state of the art technologies for Samsung TVs. We need enthusiastic engineers with a strong academic and experience in Machine Learning. The candidate will contribute to the development and optimisation of models for Samsung’s embedded devices. At SRUK we offer competitive salary and benefits packages, together with excellent opportunities for career progression and personal growth. Role and Responsibilities Under the guidance of the Project Manager the job holder will be expected to: Innovate novel AI technologies to enhance audio quality on embedded devices Improve the run time performance of the AI model on device, including optimising model size, latency and quality Have technical responsibility for one or more significant sections of the assigned project Translate complex functional and technical requirements into detailed design Ensure that work packages meet requirements, pass quality standards and are integrated with other parts of the system Work to a professional standard, paying due regard to safety, efficiency, cost effectiveness, time scales and the needs of the Company Skills and Qualifications Essential Skills, Knowledge and Competencies: A Master’s or higher degree in Electronics, Physics, Mathematics, Computer Science or related discipline. An equivalent period of industrial experience may be substituted Proven skills in compiling, deploying, profiling and optimizing latency and quality models on embedded devices (NPU and/or CPU) Excellent general AI skills, including improving quality of models using various techniques, including developing new architectures, novel training approaches. Experience with building training pipelines, applying new datasets and achieving timely results Specific experience and application of general sound enhancement technologies for voice or other audio components. Including but not limited to AI technologies Analysis and design of software modules within an embedded system including creation of demo applications to showcase AI work. Excellent general communication skills, including clear and concise written and verbal reporting. Proven experience with project planning Working in a small team, the candidate must be a team player and be flexible, and able to exhibit excellent time management Prior experience of innovation in AI space, finding new project domains and generating project proposals Individuals suitable for the position must be enthusiastic and be prepared to develop their skill set across a diverse software environment Desirable Skills, Knowledge and Competencies: Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar) Contribution to open source ML frameworks such as –TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real-time and/or embedded software development in C++ (on embedded Linux) including multi-threaded programming (POSIX) Linux (or other Unix-like) programming experience, shell scripting Version control systems, software build environments Source code quality checking and analysis tools Contract Type: Permanent Job Location: Staines-upon-Thames, Surrey, UK Hybrid Working: Standard working week will be 3 days onsite and 2 days working from home if preferred Employee Benefits: Highly competitive salary, annual performance bonus up to 21.5%, pension scheme with company contribution up to 8.5%, income protection, stocks & shares ISA, life assurance, 25 days holiday bank holidays (increasing to 30 with length of service). We also have a wide range of flexible benefits to choose from with Samsung providing an allowance of £600 per year to spend on them. 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. Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here : https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html