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London, UK, United Kingdom
Onsite
About InterDigital
InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today’s most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq. InterDigital is a registered trademark of InterDigital, Inc.
For more information, visit: https://www.interdigital.com/
The team
The Research & Innovation (R&I) team at InterDigital includes more than 250 researchers and engineers with world-class expertise in AI, wireless communications, and visual technologies. Our culture values technology expertise and an entrepreneurial mindset. Within R&I, the London Video Team is leading efforts in machine learning and deep learning to build the next generation of AI driven video compression models. We are seeking a research engineer who will work to research, design, implement and optimize these models.
You are a research engineer with expertise in deep learning model development and a background in scientific research. You have built, trained and optimized deep learning models in PyTorch or similar deep learning library. A track record of documenting your innovations in top academic conferences, journals, or patents would be nice to have.
Key Qualifications
Bachelor or Master (PhD a plus) in Mathematics, Physics, Machine Learning or Computer Science
Some mixture of background in Mathematics or Physics with Machine Learning or Computer Science
Experience researching, developing and training deep learning models, either in PyTorch or JAX
Nice to have
Publications, patents, or significant open-source contributions in relevant areas are a plus
2+ years of relevant research experience in machine learning or computer vision a plus
Responsibilities
Research, prototype and evaluate novel neural architectures for AI-based video compression and next generation video coding models
Produce high quality research outputs and patentable innovations in AI-based video compression and video coding, working closely with internal IP teams to capture and protect novel ideas
Design, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasets
Collaborate and communicate research ideas within your team and more widely across teams to non-technical colleagues
Work on proof-of-concept projects with various teams and incorporate successful approaches into larger platforms and demonstrators
Stay current with advances in machine learning, deep learning and video coding research and help bring relevant ideas into InterDigital projects
Represent the company, promote and defend proposals from the company, through standard contributions, top academic conferences and scientific journals.
Location: London, UK
InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.