ML Research Engineer

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)

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