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 Jobs in France on Arbeitnow