Senior Staff Research Engineer, Neural Network Video Coding

• Own NNVC technical direction end-to-end, from research framing to standards-ready proposals.
• Collaborate cross-team to remove blockers, integrate tool interactions, and improve shared infrastructure (e.g., testing pipelines, scripts, datasets, and configurations).
• Communicate research findings and technical insights to clients, partners, and industry audiences, representing the company’s expertise in video compression.
• Drive standards contributions by authoring technical proposals, defending results, and working with delegates/partners to align test conditions, baselines, and conclusions.
• Invent and develop patentable solutions that improve compression efficiency and/or complexity, and support the full IP process- from invention disclosure through filing.
• Implement and optimize GPU-accelerated training and/or inference workflows for NNVC tools, including profiling and performance tuning for latency, throughput, and memory.
• Mentor and multiply team output through code reviews, technical coaching, interview participation, and onboarding others to NNVC methodology and best practices.

• M.S. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
• Prior delegate or active contributor experience in video coding standardization bodies, including JVET, MPEG, or AOM.
• Deep expertise in video compression plus strong capability in machine learning for vision/video (model design, training, evaluation, and failure analysis).
• Solid understanding of at least one modern video coding standard, including HEVC/H.265, VP9, VVC/H.266, AV1, AV2, or ECM.
• Proven ability to act as an architect/tech stack owner: make sound technical decisions, set direction, and drive execution through measurable outcomes.
• Strong implementation skills across the stack: PyTorch (or equivalent) for training/inference workflows and C/C++ for codec prototyping and/or production integration.
• Strong written and verbal communication skills, including the ability to represent the company in standards meetings and industry events.
• Track record of technical impact through peer-reviewed publications, patents, and/or standards contributions.

• Ph.D. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
• Hands-on experience in one or more video coding tool areas, including neural in-loop filtering, neural prediction, learned transforms, or end-to-end neural video compression.
• Hands-on experience with GPU acceleration, including performance tuning and deployment considerations.
• Familiarity with the patent filing process and collaborating with patent attorneys.

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