Machine Learning Engineer, Video Generation
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Job Description
Machine Learn Engineer focusing on video generation at UNITH. Joining a senior team working on cutting-edge digital human technology.
Responsibilities:
- Own production video synthesis services and deploy/optimize models for real-time performance
- Reduce inference latency to meet a <2-second target for streaming conversations
- Monitor and improve video quality metrics and debug production issues
- Implement model versioning, A/B testing, and safe rollback procedures
- 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)
- Implement new visual features (expressiveness, movement, lip-sync improvements)
- Support avatar customization capabilities
- Production research enhancements into the real-time video pipeline
Requirements:
- 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
Benefits:
- 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
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