ML Research Engineer: NLP Safety Scalable Pipelines Hybrid

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

Avantages offerts par ce poste

Hybrid work in London or Paris office

Relocation support for Paris

Private health insurance

Mental health support

Flexible time off

Lunch and dinner provided

L&D budget

Team off-sites

Résumé du poste

White Circle is seeking ML Engineers to join its AI Safety team in London or Paris. You will build scalable NLP pipelines, label data with LLMs, and translate insights into product decisions. Hybrid work with relocation support is offered; experience with embeddings, clustering, and drift monitoring is valued.

The role emphasizes production-grade engineering, large-scale data workflows, and collaboration with research and engineering to meet latency, cost, and privacy constraints.

Qualifications

• Strong Python and SQL, with production-grade pipeline engineering (not just notebooks).
• Applied NLP/ML on real-world text: embeddings, clustering, topic modeling, semantic search, classification.
• Experience at scale: distributed processing, large-scale storage and querying, performance-cost tradeoffs.
• Evaluation of fuzzy problems: offline/online metrics, human-in-the-loop labeling, inter-annotator agreement, drift monitoring.
• Prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability.

Responsabilités

• Turn petabytes of unstructured text into a structured, explorable view: topics, clusters, segments, trends, anomalies.
• Build scalable representation pipelines: sampling, preprocessing, embeddings at scale, indexing, and retrieval.
• Use LLMs for labeling, weak supervision, data enrichment, and automated diagnostics, with cost/quality controls.
• Translate findings into product and operational decisions, and ship self-serve datasets, data models, and dashboards.
• Work with engineering and research to align pipelines with production constraints (latency, cost, privacy).

Connaissances

Python

SQL

NLP/ML

Distributed processing

Outils

HuggingFace

Description du poste

White Circle is seeking ML Engineers to join its AI Safety team in London or Paris. You will build scalable NLP pipelines, label data with LLMs, and translate insights into product decisions. Hybrid work with relocation support is offered; experience with embeddings, clustering, and drift monitoring is valued.

The role emphasizes production-grade engineering, large-scale data workflows, and collaboration with research and engineering to meet latency, cost, and privacy constraints.