GitMax

Senior Machine Learning Engineer (CV)

Posted: just now

Job Description

Our hiring partner, an innovative company operating at the intersection of VR, computer vision, and next-generation interactive media, is seeking an experienced Senior ML Engineer (Computer Vision) to join their growing R&D team. This is a unique opportunity to contribute to cutting-edge solutions in video processing, spatial media, and immersive content streaming.Location: RemoteResponsibilitiesAs a Senior Machine Learning Engineer (Computer Vision), you will:ML Pipeline & Model DevelopmentBuild, optimize, and deploy machine learning pipelines into production environments.Research and enhance algorithms for Video-to-Haptics generation.Develop models for video metadata extraction, action recognition, and spatiotemporal ROI extraction.Improve algorithms for high-resolution video matting and content filtering/censorship.Work on advanced research projects including volumetric video generation and streaming.Collaboration & InnovationCollaborate closely with cross-functional engineering teams to integrate ML solutions into large-scale systems.Maintain reproducibility, scalability, and clarity across ML workflows.Participate in continuous research and experimentation to develop state-of-the-art solutions.Tech StackML / CV:Python, C++, PyTorch, OpenCV, MLflow, DVC, AirFlow, Qdrant, Redis, MongoDB, RabbitMQ, MMLib, FeastRequirementsMust-Have3+ years of experience in ML Engineering with a focus on Computer Vision.Strong Python programming skills; solid CS foundations (data structures & algorithms).Experience designing clean, scalable, and reproducible ML pipelines.Bachelor’s degree in Computer Science, Mathematics, or related field.Languages: English and RussianNice-to-HaveExperience with C++ or any technologies listed in the tech stack.Experience deploying ML models to edge devices (mobile, VR headsets).Shader programming knowledge (GLSL, HLSL).Master’s degree in a relevant field.What’s Offered:100% remote opportunity — work from almost anywhere.Flexible working hours.Opportunity to shape the future of immersive media and VR technology.Innovative, highly collaborative environment.Access to necessary technical tools from day one.Free premium subscription to VR content platforms.High degree of ownership and visibility in cutting-edge research projects.

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