ML Research Engineer - LLM Training & Safety at Scale

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

Avantages offerts par ce poste

Paid time off

Relocation package

Medical insurance (France)

Equipment and tools

Equity package

Subscriptions for AI tools

Team off-sites

Résumé du poste

White Circle is hiring ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. You will work on large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, and distributed multi-GPU training, delivering insights that guide product and operations.

We value strong Python/SQL, NLP/ML expertise, and experience scaling to production. Paris-based hybrid work with relocation options is offered, along with comprehensive benefits and an equity package.

Qualifications

• Strong Python and SQL engineering mindset for reliable pipelines.
• Solid applied NLP/ML experience on real-world text.
• Experience with large-scale distributed processing.
• Ability to evaluate fuzzy problems with offline/online metrics.
• Experience with safety/moderation datasets or policy/rule systems.

Responsabilités

• Train, post-train, and evaluate LLMs at the core of the platform.
• Build scalable data pipelines, embeddings, indexing, and retrieval for analysis.
• Labeling, weak supervision, data enrichment, and automated diagnostics of inbound volumes.
• Translate findings into product and operational actions to improve data quality.
• Deliver self-serve analytics with datasets, data models, and lightweight dashboards.
• Collaborate closely with engineering and research to align pipelines with production constraints.

Connaissances

Python

SQL

NLP/ML

Distributed processing

Embeddings

Clustering

Topic modeling

Semantic search

Classification

Outils

HuggingFace

GitHub

Description du poste

White Circle is hiring ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. You will work on large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, and distributed multi-GPU training, delivering insights that guide product and operations.

We value strong Python/SQL, NLP/ML expertise, and experience scaling to production. Paris-based hybrid work with relocation options is offered, along with comprehensive benefits and an equity package.