C
Connecthumvia Ashby
Audio | Multimodal ML Engineer
ParisPosted 3w ago
ML EngineerMid LevelFull-time
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About the Role
We’re hiring an Audio / Multimodal ML Engineer for a fast-growing AI infrastructure startup building the safety and control layer for large-scale AI systems.
THE COMPANY BEHIND THE ROLE:
- AI-native product company operating in the AI safety & infrastructure space
- Backed by international investors
- Processing large-scale AI traffic across enterprise environments
- Training and fine-tuning proprietary models for performance & reliability
- Small, highly technical team shipping fast
The company builds the control and evaluation layer for AI systems - helping organizations define, test, and enforce how AI behaves in real-world environments.
YOUR IMPACT:
- Train and fine-tune large-scale audio & multimodal models
- Design and run experiments (architecture, data mixtures, training strategies)
- Build and optimize audio data pipelines
- Improve inference speed, latency and production readiness
- Deploy models end-to-end in low-latency environments
- Define meaningful evaluation metrics beyond benchmark scores
- Collaborate closely with research & engineering
This is a hands-on role where research meets production.
TECH ENVIRONMENT (HIGH-LEVEL):
- PyTorch-based training pipelines
- Large-scale distributed training
- Speech & audio modeling architectures
- Multimodal model integration
- Model optimization (quantization, distillation, streaming inference)
- Production deployment & serving systems
(Deep technical stack shared during interviews)
YOUR SUPERPOWER:
- 3+ years training deep learning models in audio / speech domains
- Strong experience with distributed training frameworks
- Solid understanding of audio signal processing fundamentals
- Experience shipping models to production (latency matters, not just metrics)
- Experience building and maintaining data pipelines
- Strong engineering hygiene (clean code, testing, versioning)
BONUS POINTS IF:
- Experience with multimodal architectures
- Experience with alignment / fine-tuning techniques
- Experience working in AI infrastructure or model optimization
WHY JOIN:
- Competitive compensation + equity
- Hybrid setup in Europe + relocation support
- Comprehensive health coverage
- Top-tier hardware & tools
- Team off-sites
- Budget for learning & AI tooling
THE COMPANY BEHIND THE ROLE:
- AI-native product company operating in the AI safety & infrastructure space
- Backed by international investors
- Processing large-scale AI traffic across enterprise environments
- Training and fine-tuning proprietary models for performance & reliability
- Small, highly technical team shipping fast
The company builds the control and evaluation layer for AI systems - helping organizations define, test, and enforce how AI behaves in real-world environments.
YOUR IMPACT:
- Train and fine-tune large-scale audio & multimodal models
- Design and run experiments (architecture, data mixtures, training strategies)
- Build and optimize audio data pipelines
- Improve inference speed, latency and production readiness
- Deploy models end-to-end in low-latency environments
- Define meaningful evaluation metrics beyond benchmark scores
- Collaborate closely with research & engineering
This is a hands-on role where research meets production.
TECH ENVIRONMENT (HIGH-LEVEL):
- PyTorch-based training pipelines
- Large-scale distributed training
- Speech & audio modeling architectures
- Multimodal model integration
- Model optimization (quantization, distillation, streaming inference)
- Production deployment & serving systems
(Deep technical stack shared during interviews)
YOUR SUPERPOWER:
- 3+ years training deep learning models in audio / speech domains
- Strong experience with distributed training frameworks
- Solid understanding of audio signal processing fundamentals
- Experience shipping models to production (latency matters, not just metrics)
- Experience building and maintaining data pipelines
- Strong engineering hygiene (clean code, testing, versioning)
BONUS POINTS IF:
- Experience with multimodal architectures
- Experience with alignment / fine-tuning techniques
- Experience working in AI infrastructure or model optimization
WHY JOIN:
- Competitive compensation + equity
- Hybrid setup in Europe + relocation support
- Comprehensive health coverage
- Top-tier hardware & tools
- Team off-sites
- Budget for learning & AI tooling
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