{"id":2421043,"url":"https://alion.io/job/thelab-vfx-ai-pipeline","title":"VFX AI Pipeline","company":{"id":4420175,"name":"thelab","domain":"thelab.co","url":"https://alion.io/company/thelab-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"Games","role_family":"Games","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":220000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"3ds Max","optional":false},{"name":"ComfyUI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Houdini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Maya","optional":false},{"name":"Python","optional":false},{"name":"ControlNet","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Rest API","optional":true},{"name":"Stable Diffusion","optional":true}],"status":"live","first_seen_at":"2026-08-04T00:00:00Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-22T11:16:46Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"Position Summary:\nThe VFX AI Pipeline Engineer is responsible for designing, developing, and maintaining the infrastructure that integrates artificial intelligence and machine learning into Wellcom's CGI and visual effects production pipeline. Working within HOME, Wellcom's AI-enabled production ecosystem, this role bridges traditional VFX applications with AI-native technologies to create scalable, artist-friendly workflows that enhance efficiency without compromising creative quality.\nActing as the connection between software engineering, pipeline development, and production, the VFX AI Pipeline Engineer builds intelligent tools that automate repetitive processes, accelerate asset creation, and enable creative teams to leverage AI throughout the production lifecycle. This role collaborates closely with CGI Supervisors, Compositing Artists, Developers, Creative Technologists, and Production teams to continuously evolve HOME's AI capabilities.\nKey Responsibilities:\nAI Pipeline Integration\nArchitect, develop, and maintain AI-enhanced production solutions that integrate seamlessly into existing VFX and CGI pipelines.\nBuild custom tools, APIs, and services that connect traditional DCC applications-including 3ds Max, Maya, Houdini, Nuke, and Fusion-with AI generation platforms and machine learning models.\nEnsure AI workflows are scalable, secure, reliable, and production-ready within HOME.\nCollaborate with pipeline engineers and software developers to optimize performance and interoperability across production systems.\nWorkflow Automation\nDesign, build, and maintain automated AI workflows using ComfyUI, Python, and proprietary workflow frameworks.\nStandardize AI-assisted asset generation, image enhancement, look development, and production processes across creative teams.\nDevelop reusable automation pipelines that improve production speed, consistency, and scalability.\nMonitor workflow performance and continuously optimize processing efficiency.\nModel Fine-Tuning & AI Development\nManage the training, fine-tuning, and deployment of custom AI models including LoRAs, ControlNets, IP-Adapters, and related machine learning assets.\nMaintain model libraries, checkpoints, version control, and documentation to support project consistency and governance.\nOptimize AI models for specific client aesthetics, character consistency, product visualization, and brand standards.\nEvaluate emerging AI technologies and recommend production-ready implementations.\nTechnical Artist Tools\nDevelop intuitive tools, interfaces, and scripts that enable artists to utilize AI capabilities without requiring advanced programming knowledge.\nCreate integrations within Nuke, Houdini, 3ds Max, Maya, and other production applications that support AI-powered workflows such as texture synthesis, depth-map generation, image upscaling, rotoscoping, segmentation, and asset enhancement.\nBuild artist-focused workflows that balance automation with creative control.\nImprove usability through documentation, training, and ongoing technical support.\nCollaboration & Innovation\nPartner with CGI Supervisors, Compositing Artists, Creative Technologists, AI Developers, and Production teams to identify opportunities for AI-enabled workflow improvements.\nSupport the evolution of HOME by researching, testing, and implementing emerging AI technologies that enhance production capabilities.\nEstablish best practices, technical documentation, and governance standards for AI-assisted production.\nChampion responsible, ethical, and secure implementation of AI technologies throughout the production pipeline.\nRequired Qualifications:\nBachelor's degree in Computer Science, Software Engineering, Visual Effects, Computer Graphics, Artificial Intelligence, or equivalent professional experience.\n5+ years of experience in VFX pipeline development, technical direction, software engineering, or AI workflow development.\nStrong understanding of VFX production pipelines and digital content creation workflows.\nAdvanced programming experience with Python.\nExperience integrating software applications through APIs and automation frameworks.\nExcellent problem-solving, communication, and cross-functional collaboration skills.\nPreferred Qualifications:\nExperience developing AI-enabled production pipelines for CGI, VFX, or creative production environments.\nExperience with ComfyUI, Stable Diffusion, Flux, or other generative AI frameworks.\nKnowledge of machine learning concepts, inference optimization, and model fine-tuning.\nExperience training and managing LoRAs, ControlNets, IP-Adapters, or similar AI models.\nFamiliarity with cloud computing, GPU infrastructure, and distributed AI processing.\nExperience working within commercial advertising, production, or animation studios.\nTechnical Skills:\nProgramming & Development\nPython\nREST APIs\nGit\nDocker\nWorkflow automation\nPipeline development\nAI & Machine Learning\nComfyUI\nStable Diffusion\nFlux\nLoRA training\nControlNet\nIP-Adapters\nModel inference\nPrompt engineering\nAI workflow orchestration\nVFX & DCC Applications\nAutodesk Maya\n3ds Max\nHoudini\nNuke\nFusion\nPipeline & Infrastructure\nAsset management\nPipeline architecture\nGPU rendering\nCloud infrastructure\nVersion control\nAI model management\nSuccess in This Role:\nA successful VFX AI Pipeline Engineer will:\nBuild reliable, scalable AI infrastructure that seamlessly integrates with Wellcom's VFX and CGI production pipeline.\nEmpower artists through intuitive AI tools that enhance creativity while reducing repetitive manual work.\nOptimize AI workflows to improve production efficiency, consistency, and quality.\nCollaborate effectively across engineering, creative, and production teams to deliver innovative solutions.\nHelp shape the future of HOME by advancing AI-enabled production capabilities while maintaining the highest standards of technical excellence, artistic integrity, and operational reliability.","description_format":"text","description_chars":5910,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T05:06:16Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long 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