Machine Learning Engineer, Video Generation - Barcelona - UNITH

    UNITH
    UNITH Barcelona

    hace 2 días

    Descripción
    Overview

    Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud.

    Full-time role based in Barcelona, Spain (hybrid) or remote in Europe.

    Own and scale real-time video synthesis for lifelike digital humans with a focus on latency, quality, and reliability at scale.

    About UNITH

    At UNITH, we're transforming customer journeys with conversational AI. Listed on the ASX, we create lifelike digital humans using cutting-edge synthetic facial movement, voice engineering, and conversational design. Our digital humans speak 60+ languages with 600+ voices.
    The Role

    We are looking for an experienced

    Production ML Engineer

    to take ownership of our video synthesis pipeline. This is a hands-on, production-focused role where you'll bring AI research to life at scale.

    You will work at the intersection of computer vision, ML infrastructure, and real-time systems to ensure our digital humans run reliably, efficiently, and with ultra-low latency — without sacrificing visual quality.

    What You'll Do

    Production Engineering (Core Focus)

    Own production video synthesis services and deploy/optimize models for real-time performance
    Reduce inference latency to meet a

    Monitor and improve video quality metrics and debug production issues
    Implement model versioning, A/B testing, and safe rollback procedures
    Integration & Optimization

    Act as the bridge between AI research and production systems
    Integrate new models into the existing pipeline
    Design video synthesis APIs (gRPC, REST) and work with event-driven architectures
    Optimize GPU utilization, implement caching strategies, and collaborate on service orchestration
    Handle TTS integration services (Voice Connectors)
    Feature Development

    Implement new visual features (expressiveness, movement, lip-sync improvements)
    Support avatar customization capabilities
    Productionize research enhancements into the real-time video pipeline
    Tech Stack

    Python, PyTorch, AWS, Docker, Kubernetes, GPU instances
    gRPC services for streaming synthesis
    S3, Redis, RabbitMQ
    What We're Looking For

    Must-Have
    3-5 years of experience deploying ML/CV models to production (not just training)
    Strong hands-on experience with PyTorch or TensorFlow
    Practical optimization experience (quantization, pruning, model serving, GPU resource management)
    Experience with video generation or real-time video processing and latency/quality trade-offs
    Strong Python skills for backend services (FastAPI, Flask) and ML serving (TorchServe, ONNX Runtime)
    Production infrastructure experience (Docker, AWS, CI/CD pipelines)
    Strong debugging skills and ability to collaborate across research and backend teams
    Nice-to-Have
    Experience with audio-driven avatars, face reenactment, GANs, Diffusion Models, or NeRFs
    gRPC, RabbitMQ, Go, or video streaming protocols (HLS, WebRTC)
    Publications or open-source contributions in computer vision
    What Success Looks Like

    First 6 months

    • Ownership of core synthesis services with improved reliability and monitoring
    Successful deployment of at least one research model into production
    Measurable improvements in latency or video quality
    First 12 months

    • Streaming video delivery with 3050% latency reduction
    Production rollout of visual improvements (expressiveness, movement)
    Recognized as the go-to production ML expert bridging research and deployment
    What We Offer

    Compensation & Flexibility
    €45,000 - €65,000 depending on experience
    Hybrid work in Barcelona or remote options within Europe
    Impact & Growth
    End-to-end ownership of critical production systems
    Unique role bridging cutting-edge CV research and real-world deployment
    Challenging xugodme problems in real-time ML, latency optimization, and scalability
    High-impact work in a small, senior team (12 people)
    Opportunity to shape ML infrastructure as the company scales
    Additional Perks

    Office in the center of Barcelona
    Work from anywhere
    Lunch compensation when in the office
    Private health insurance with Alan
    Travel allowance (for team members living 10km+ from the office)
    Flexible benefits (tax-free under Spanish legislation)
    ClassPass discount
    How to Apply


    Submit:
    Your CV highlighting ML production experience
    A short motivation (3-5 sentences) covering: your experience deploying CV/video models to production
    One project where you reduced inference latency
    Why digital humans excite you
    Apply via the Easy Apply button, or reach out directly to

    — creativity is welcome
    Recruitment Process

    Intro call with Joyce (30 min)
    Technical interview with Head of Engineering + team (90 min)
    Team meeting with backend & research (60 min)
    Small take-home assignment
    Reference check
    Timeline: 2-3 weeks from application to offer
    Ready to make digital humans faster, better, and more reliable?
    Apply now

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