Multimodal ML Engineer — Production-Ready Vision & Audio

Whitecircle; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Paid time off

Hybrid Paris work arrangement

Relocation package

Medical insurance for France team

Equity package

All needed hardware and software

AI tools subscriptions

Team off-sites

Résumé du poste

White Circle is seeking a Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform. You will design experiments, build data pipelines, and optimize models for production at scale.

The role requires hands-on experience with PyTorch, distributed training, and multimodal architectures. Join a small, results-driven team focused on safety, reliability, and policy-based AI.

Qualifications

• 3+ years training large-scale deep learning models in multimodal domains.

Responsabilités

• Train and fine-tune large-scale multimodal models from scratch and pretrained checkpoints.
• Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio.
• Design and run experiments: architecture changes, data mixes, training recipes.
• Build and maintain multimodal data pipelines from raw images, video, and audio to training-ready datasets, including synthetic data generation.
• Train and optimize MoE architectures for efficient multimodal inference.
• Deploy models end-to-end from research checkpoint to production serving.

Connaissances

PyTorch

Multimodal models

Deep learning

Model deployment

RLHF alignment

Video/audio processing

Distributed training

MoE architectures

Data pipelines

Outils

DeepSpeed

FSDP

Description du poste

White Circle is seeking a Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform. You will design experiments, build data pipelines, and optimize models for production at scale.

The role requires hands-on experience with PyTorch, distributed training, and multimodal architectures. Join a small, results-driven team focused on safety, reliability, and policy-based AI.