Multimodal ML Engineer

We're looking for a Multimodal ML Engineer to join White Circle, an AI Safety company building the policy enforcement and optimization layer for AI systems. Backed by $11M from senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, and DeepMind, White Circle processes 100M+ API calls monthly and runs its own LLMs in production. You will • Train and fine-tune large-scale multimodal models (vision-language, audio, speech, video) from scratch and from pretrained checkpoints. • Design experiments, build multimodal data pipelines, and train MoE architectures. • Build alignment pipelines (SFT, DPO, GRPO), optimize for production (quantization, distillation, streaming), and deploy end-to-end. • Define evaluation metrics that actually matter for the product. Requirements • 3+ years training large-scale multimodal models. • Strong PyTorch and distributed training experience (DeepSpeed, FSDP). • Deep familiarity with multimodal architectures – LLaVA, Qwen-VL, InternVL, Audio Flamingo, Whisper, HuBERT, Conformer or similar. • Hands-on RLHF/alignment across modalities (GRPO, DPO, reward modeling). • Both audio and video experience required – sequence modeling for each, plus large-scale dataset curation and production inference optimization. • Relocation to Paris or London (hybrid) required. Bonus • Audio signal processing fundamentals – spectrograms, mel features, noise reduction. • MoE architecture experience. We offer • $100k–$250k/year salary + equity; higher figures can be negotiated. • Official employment, visa and relocation help. Compensation: $100K – $250K • Higher figures and equity are negotiable • • $100K – $250K • Higher figures and equity are negotiable Find more English Speaking Jobs in France on Arbeitnow