Data Scientist / Analytics Engineer

Wanted: Data Scientist who will help us keep LLMs under control.

About us

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White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others

We process over one hundred million API calls every month

We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

You will:

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Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from “unknown unknowns” to stable definitions we can track.

Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable.

Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls).

Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what’s missing, where quality breaks, what to prioritize next).

Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests.

Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows.

You’ll fit right in if you:

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Strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks.

Solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them.

Comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost tradeoffs.

You know how to evaluate fuzzy problems: offline/online metrics, human-in-the-loop labelling, inter-annotator agreement, drift monitoring, and reproducibility.

Prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability

Why White Circle

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Salary of $80,000 to $150,000 + equity

20 days of paid vacation

Work from Paris (hybrid) + relocation package

Best medical insurance in France

All the hardware, tools, and services you need

Covered subscriptions for AI agents and IDEs

Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

How we hire

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Intro call with one of our colleagues

Complete the take-home assignment

Show your best during the technical interview

Final call with our CEO and CTO

Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join

Compensation Range: $80K - $150K