> Markdown version of [/jobs/ext/226529-senior-staff-research-engineer-neural-network-video-coding](https://www.wearedevelopers.com/jobs/ext/226529-senior-staff-research-engineer-neural-network-video-coding). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Research Engineer, Neural Network Video Coding - **Company:** Ofinno, LLC - **Location:** Reston, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, C++ (Programming Language), Code Review, Codecs, Data Compression, Machine Learning, Performance Tuning, Pytorch, High Efficiency Video Coding (HEVC), Audio Codec - **Published:** May 14, 2026 - **Apply:** https://www.careerjet.com/jobad/us952502e158e095a597fda68e8236acf7 ## About the Role * 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. Preferred: * 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. ## Description As a Senior Staff Research Engineer in the Advanced Media Lab, you will serve as the tech stack owner for our neural network-based video coding (NNVC) efforts and lead related standardization activities. You will set the research direction with cross-team impact, turning neural coding ideas into reproducible evidence, standards-ready proposals, and patentable inventions., As a Senior Staff Research Engineer in NNVC, you will: * 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. ## Related Videos - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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