Audio | Multimodal ML Engineer
ConnectHum21 days ago
Paris, FranceMid Level / Senior
Responsibilities
- Train and fine-tune large-scale audio and multimodal models.
- Design and run experiments for architecture and training strategies.
- Build and optimize audio data pipelines.
- Improve inference speed and production readiness.
- Deploy models end-to-end in low-latency environments.
- Define meaningful evaluation metrics beyond benchmark scores.
- Collaborate closely with research and engineering teams.
Requirements
- 3+ years of experience training deep learning models in audio or speech domains.
- Strong experience with distributed training frameworks.
- Solid understanding of audio signal processing fundamentals.
- Experience shipping models to production with a focus on latency.
- Experience building and maintaining data pipelines.
- Strong engineering hygiene including clean code and testing.
Benefits
- Competitive compensation and equity.
- Hybrid work setup in Europe with relocation support.
- Comprehensive health coverage.
- Access to top-tier hardware and tools.
- Team off-sites and budget for learning and AI tooling.
Tech Stack
PyTorch
Categories
AI & MLData Engineering