ML Research Engineer

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

We're looking for ML Engineers to join White Circle, an AI Safety company building the policy enforcement and optimization layer for AI systems. Backed by $11M from senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, and DeepMind, White Circle processes 100M+ API calls monthly and runs its own LLMs in production.

You will

• 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).

Requirements

• 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.
• Relocation to Paris or London (hybrid) required.

Bonus

• Public builder footprint: open-source models, datasets, or frameworks on HuggingFace/GitHub, papers, or technical posts.
• Experience at a frontier or near-frontier lab, or leading open-source model releases.
• RL for LLMs beyond standard RLHF: online RL, GRPO-style methods.
• Moderation, safety, or classification models at scale; multilingual model training.

We offer

• Competitive salary + equity.
• Hybrid work from central London or Paris office, relocation support for Paris after probation.
• Premium private health insurance, mental health support, flexible time off.
• Lunch and dinner covered in the office, L&D budget, all hardware and tools you need.
• Team off-sites twice a year.

Find more English Speaking Jobs in France on Arbeitnow