Full-time | Tech TeamBarcelona (hybrid) or remote within Europe€45,000 – €55,000Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto.threesixfive is supporting a high-growth conversational AI company building lifelike digital humans for enterprise use cases.Our client designs and deploys real-time, human‐like digital avatars that combine video synthesis, facial animation, voice, and conversational AI. Their technology is used by global organisations to deliver interactive customer experiences at scale, across dozens of languages and markets.This is a technically ambitious team working at the cutting edge of computer vision, real-time ML systems, and production AI infrastructure, with a strong focus on reliability, performance, and real‐world impact.In a nutshellOwn and scale real‐time video synthesis systems for lifelike digital humansA production‐first ML role, bridging research and live deploymentFocus on latency, video quality, and reliability at scaleWhy this role stands outThis is a rare opportunity to work on real‐time, user‐facing ML systems where your optimisations have an immediate and visible impact.You'll be part of a small, senior engineering team building cutting‐edge digital human technology used by integral enterprise customers. The problems are hard, the constraints are real, and the work goes far beyond experimentation or demos.The RoleWe're looking for an experienced Production Machine Learning Engineer to take ownership of a real‐time video synthesis pipeline.This is a hands‐on,



systems‐oriented role at the intersection of:ML infrastructureYou'll be responsible for taking research models and making them run reliably in production, under strict latency and quality constraints.Production Engineering (Core Focus)Own and operate production video synthesis servicesDeploy and optimise ML models for real‐time inferenceReduce end‐to‐end inference latency (targeting sub‐2s streaming use cases)Monitor video quality and system performance; debug production issuesImplement model versioning, A/B testing, and safe rollback strategiesAct as the bridge between research and production systemsIntegrate new CV / video models into an existing real‐time pipelineDesign and maintain APIs for video synthesis (gRPC, REST)Optimise GPU utilisation and inference throughputImplement caching strategies and support service orchestrationIntegrate text‐to‐speech / audio services where requiredFeature DevelopmentProductionise visual improvements (expressiveness, motion, lip‐sync)Support avatar customisation and identity preservationTurn research prototypes into robust, real‐time featuresPython, PyTorchAWS, Docker, Kubernetes,



GPU‐backed instancesgRPC for streaming servicesWhat We're Looking ForMust-have3–5 years' experience deploying ML / CV models into productionStrong hands‐on experience with PyTorch or TensorFlowPractical experience with model optimisation (quantisation, pruning, serving)Experience with video generation or real‐time video processingSolid understanding of latency vs quality trade‐offsStrong Python skills for backend services and ML servingProduction infrastructure experience (Docker, cloud platforms, CI/CD)Strong debugging skills and ability to collaborate across teamsNice‐to‐haveExperience with audio‐driven avatars or face animationGANs, Diffusion Models, NeRFs, or related CV techniquesOpen‐source contributions or publications in computer visionWhat xhfqzwm Success Looks LikeFirst 6 monthsOwnership of core video synthesis servicesImproved monitoring, reliability, and operational confidenceAt least one research model successfully deployed into productionMeasurable improvements in latency or video qualityFirst 12 monthsSignificant latency reduction in streaming video delivery (30–50%)Production rollout of visual improvementsRecognised internally as the go‐to engineer for production ML and real‐time video systemsWhat's on OfferCompensation & FlexibilityHybrid working in Barcelona or remote within EuropeImpact & GrowthEnd‐to‐end ownership of critical production systemsTechnically challenging problems in real‐time ML and scalabilityHigh‐impact role in a small, experienced engineering teamOpportunity to influence ML infrastructure as the platform scalesCentral Barcelona officeFlexible working arrangementsPrivate health insuranceCommuter / travel allowanceFlexible benefits under local tax schemesWellness and fitness discountsTo apply or learn more: email with your CV or LinkedIn profile.#J-18808-Ljbffr

📌 Machine Learning Engineer – Real-Time Video Generation - €45.000 - €55.000 A Year (Barcelona)
🏢 threesixfive
📍 Barcelona