# Multimodal ML Engineer at Npv

- Company: Npv
- Status: Open
- Workplace: Hybrid
- Location: Paris · London
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-10-08
- Skills: AI, OpenAI, Anthropic, HuggingFace, DeepMind
- Apply: https://jobs.ashbyhq.com/npv/0d01f631-54f6-460d-a74b-63ddfb259f9a

## 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 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 redu

More Npv roles: https://deviantjobs.com/companies/npv