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Senior Multimodal ML Engineer

sokoni kwetu • France
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Join White Circle to build a safety and optimization layer for AI systems using natural-language policies. You will train and fine-tune large-scale multimodal models across vision, audio, and video modalities. Requires 3+ years of experience in large-scale multimodal training and distributed systems.

Key Highlights
Backed by $70M Series A from top AI industry leaders
Focus on safety, reliability, and optimization of AI systems
Hybrid role based in Paris or London
Key Responsibilities
Train and fine-tune large-scale multimodal models (vision-language, audio, speech, video) from scratch and pretrained checkpoints.
Design experiments, build multimodal data pipelines, and train MoE architectures.
Build alignment pipelines including SFT, DPO, and GRPO.
Optimize models for production through quantization, distillation, and streaming.
Define and implement product-relevant evaluation metrics.
Technical Skills Required
PyTorch Distributed Training RLHF
Benefits & Perks
Competitive salary
Equity
Visa help
Relocation help
Nice to Have
Audio signal processing fundamentals (spectrograms, mel features, noise reduction)
MoE architecture experience

Job Description

We're looking for a Multimodal ML Engineer to join White Circle, an AI Safety company building the safety, reliability, and optimization layer for AI systems through natural-language policies it automatically tests, enforces, and improves at scale. Backed by $70M (Series A) from top funds and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, and others, White Circle processes 100M+ API calls monthly and fine-tunes and trains its own LLMs to run faster and cheaper than open or proprietary models.You willTrain and fine-tune large-scale multimodal models (vision-language, audio, speech, video) from scratch and from pretrained checkpoints.Design experiments, build multimodal d...

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