Computer Vision Engineer

Our client is hiring: Applied Research Engineer (Video AI / Computer Vision) ?? In-person | San FranciscoOur client is building high-performance systems to understand video at internet scale.Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn't models "” it's high-quality video data and understanding at scaleThis team sits at the intersection of:Computer VisionAudio + speech processingMultimodal AI systemsLarge-scale data infrastructureTheir mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance.?? The roleAs an Applied Research Engineer, you'll design and build systems that power large-scale video understanding.You'll work across both research and production, including:Building high-performance data and inference pipelinesImproving model performance through smart preprocessing and optimisationWorking with APIs, models, and multimodal systemsSolving ambiguous, research-heavy engineering problemsShipping end-to-end systems that directly impact customers and model capability?? What they're looking for2+ years experience in Computer Vision or Audio MLStrong Python engineering skillsExperience with PyTorch or similar ML frameworksAbility to work across research + production environmentsStrong communication skills with technical and non-technical stakeholdersClean, production-quality coding practicesAbility to translate customer problems into technical system designPassion for video, media, or multimodal AI systems? BonusOpen-source contributionsEarly-stage startup experiencePortfolio of applied ML or systems work?? Must be based in or willing to work in-person in San Francisco.If you're interested in building systems that turn video into intelligence at scale, our client would like to hear from you.

Created: 2026-05-09