AI Engineer specializing in training audio and multimodal models for AI safety. Work at White Circle, focusing on production-ready solutions for AI systems.
Responsibilities
Train and fine-tune large-scale audio and multimodal models from scratch and from pretrained checkpoints
Design and run experiments: architecture changes, data mixes, training recipes
Build and maintain audio data pipelines — from raw recordings to training-ready datasets
Optimize models for production: quantization, distillation, streaming inference
Deploy models end-to-end: from research checkpoint to low-latency serving
Collaborate with research to turn experimental ideas into shippable features
Define evaluation metrics and benchmarks that actually matter for the product
Requirements
3+ years of experience training large-scale deep learning models in audio, speech, or acoustic domains
Strong hands-on experience with PyTorch, distributed training (DeepSpeed, FSDP, or similar)
Familiarity with audio/speech architectures (Audio Qwen, Whisper, HuBERT, Conformer, or similar)
Experience with vision-language and multimodal architectures (Audio Flamingo, Omni Qwen, or similar)
Track record of shipping models to production: you've hit latency targets, not just accuracy benchmarks
Comfortable working with large-scale audio data pipelines: preprocessing, augmentation, dataset curation
Understanding of audio signal processing fundamentals: spectrograms, mel features, noise reduction
Experience with SFT, DPO, GRPO or other alignment techniques — ideally in multimodal setting
Strong engineering fundamentals: clean code, version control, testing, documentation
Benefits
20 days of paid vacation
Work from Paris (hybrid) + relocation package
Best medical insurance in France
All the hardware, tools, and services you need
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez
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