{"id":694950,"url":"https://alion.io/job/infomediji-senior-machine-learning-engineer-computer-vision","title":"Senior Machine Learning Engineer (Computer Vision)","company":{"id":678549,"name":"Infomediji","domain":"infomediji.com","url":"https://alion.io/company/infomediji","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":86,"open_postings":8,"ghost_share":0,"stale_share":0.375,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tbilisi, Georgia"],"countries":["GE"],"hiring_countries":["GE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":168000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"MLFlow","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch Lightning","optional":false},{"name":"C#","optional":true},{"name":"C++","optional":true},{"name":"Feast","optional":true},{"name":"GLSL","optional":true},{"name":"HLSL","optional":true},{"name":"Kubernetes","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"OpenCV","optional":true},{"name":"PHP","optional":true},{"name":"Python","optional":true},{"name":"Qdrant","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Redis","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"Unity","optional":true}],"status":"live","first_seen_at":"2026-09-01T10:57:28Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-28T09:29:10Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":57},"description":"Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.\nDeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.\nWe are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.\nIf this excites you more than it scares you, you are in the right place.\nThe Role\nWe're looking for a seasoned Senior ML CV engineer to drive the technical direction of AI Mosaic - our production computer vision product that automatically applies accurate, form-fitting mosaic to video, replacing manual frame-by-frame masking with same-day automated output. AI Mosaic already runs in production and has processed titles for major Japanese distribution platforms.\nYou'll own more than implementation - you'll improve the pipeline, spot where it can go further, and drive the changes that push the product forward.\nWhat You Will Do\nDeploy and continuously improve production ML pipelines for AI Mosaic\n\nResearch and improve Computer Vision algorithms for automated content censoring and precise mosaic generation\n\nImprove algorithms for high-resolution video matting, segmentation, and form-fitting masking\n\nDevelop spatiotemporal ROI extraction and tracking algorithms to ensure accurate and consistent masking across video frames\n\nDevelop video understanding, relevant region detection, and motion recognition algorithms where they can improve masking quality\n\nImprove model accuracy, processing speed, stability, and scalability for high-resolution videos and batch workloads\n\nProactively identify technical and product improvement opportunities and drive them from initial hypothesis to production\n\nWork closely with product and engineering teams to translate user feedback and business needs into practical ML solutions\n\nTech Stack\nMust Have:\nPyTorch, PyTorch-Lightning, MLFlow, Experiment Tracking\n\nHighly Required:\nCamera Intrinsics\n\nNice to Have:\nInference Optimization: TensorRT, ONNX Runtime, Triton Inference Server\n\nVideo CV: Spatiotemporal Tracking & Continuity\n\nDomain Knowledge: VR, 3D-geometry\n\nStack (ML): Python, C++, Unity, PyTorch, PyTorch-Lightning, MLflow, DVC, OpenCV, AirFlow, Qdrant, Redis, MongoDB, RabbitMQ, MMLib, Feast\n\nStack (Company): PHP, C#, Unity, Go, Unity, WebGL, K8s\n\nWhat We Are Looking For\nProven experience developing and deploying Computer Vision models in production, with the ability to independently own complex ML solutions\n\nStrong programming skills in Python and solid knowledge of data structures and algorithms\n\nAbility to build extendable, reproducible, and maintainable ML pipelines\n\nStrong product mindset, with the ability to connect technical and model improvements to user needs and measurable product impact\n\nProactive approach and ability to identify and initiate technical and product improvements\n\nBSc in Computer Science, Mathematics, or a related field\n\nBonus Points\nNice to have experience in anything mentioned in the Technical Stack section: C++ and etc.\n\nExperience deploying in edge (mobile, VR headset) devices\n\nExperience in shader creation (glsl, hlsl, etc.)\n\nMSc in CS, Math or related\n\nHiring Process\nHR screening (30 min)\n\nTeam Interview with Engineering Lead (30 min or 1 hour)\n\nTech Interview (1 hour)\n\nCEO Interview (30 min)\n\nExplore our hiring process\nWhat We Offer\nPlease note, that this is a fully remote contract role. B2B cooperation only - you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent).\nThe chance to be part of a pioneering team in a rapidly evolving industry\n\nDirect impact on the future of immersive media\n\nFlexible working hours and remote-first culture\n\nA team that values initiative, clarity, and collaboration\n\nAccess to all tools and tech you need\n\nUnlimited DeoVR Premium\n\nA work environment where ideas matter and people are treated with respect\n\nStay Connected\nJoin our Facebook communityand follow updates as we advance interactive VR experiences through cutting-edge technology. 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