LLM Training & Evaluation Engineer

White Circle; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Relocation support

Hybrid office setup

Private health insurance

Lunch and dinner on office days

Learning and development

Résumé du poste

White Circle in Paris is seeking several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. You will work hands-on on large-scale data pipelines, RLHF-style alignment, and distributed multi-GPU training, delivering practical models that run efficiently in production.

You will build scalable representation pipelines, labeling, evaluation, and tooling to empower product decisions.

Qualifications

• Strong Python programming with an engineering mindset.
• Solid applied NLP/ML experience on real-world text.
• Experience with large-scale distributed processing and storage.
• Ability to evaluate fuzzy problems with offline/online metrics.

Responsabilités

• Train, post-train, and evaluate LLMs at scale.
• Build scalable data pipelines and embeddings for analysis.
• Labeling, weak supervision, and data enrichment workflows.
• Translate insights into product and operational actions.
• Develop self-serve analytics and lightweight dashboards.
• Collaborate with engineering/research to align with production constraints.

Connaissances

Python

SQL

NLP/ML

Distributed processing

Data pipelines

Evaluation

Model training

HuggingFace

PyTorch

Outils

HuggingFace

PyTorch

Description du poste

White Circle in Paris is seeking several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. You will work hands-on on large-scale data pipelines, RLHF-style alignment, and distributed multi-GPU training, delivering practical models that run efficiently in production.

You will build scalable representation pipelines, labeling, evaluation, and tooling to empower product decisions.