InterDigital, Inc.
Machine Learning Engineer
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Machine Learning Engineer
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 machine learning engineer who will work to research, design, implement and optimize these models for efficient deployment.
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Key Qualifications
- Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)
- Strong software engineering skills and experience building robust ML codebases
- Expert in Python, with additional experience in C++ or another systems language a plus
- Experience with GPU based training and inference, and familiarity with performance optimization for accelerators
- Experience building production grade ML systems or research prototypes that have been used by others
- Publications, patents, or significant open-source contributions in relevant areas are a plus
Responsibilities
- Work with InterDigital researchers and engineers in the London Video Team and across R&I to understand requirements and provide ML-based technical solutions for video compression and video coding
- 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
- Own model optimization and compilation workflows, including PyTorch compile, export and integration into downstream systems
- Design, implement and maintain training, evaluation and benchmarking pipelines for video compression models, including metrics and datasets
- 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
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Location
London, UK
Equal Employment Opportunity
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.
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