# ML Research Engineer at Npv

- Company: Npv
- Status: Open
- Workplace: Hybrid
- Location: Paris · London
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-10-08
- Skills: AI, OpenAI, Anthropic, HuggingFace, DeepMind
- Apply: https://jobs.ashbyhq.com/npv/b09404fc-7439-47ea-b927-4dc540c9cb74

## Description

We're looking for ML Engineers to join White Circle, an AI Safety company building the safety, reliability, and optimization layer for AI systems through natural-language policies it automatically tests, enforces, and improves at scale. Backed by $70M (Series A) from top funds and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, and others, White Circle processes 100M+ API calls monthly and fine-tunes and trains its own LLMs to run faster and cheaper than open or proprietary models.

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/moder

More Npv roles: https://deviantjobs.com/companies/npv