Remote position
ML Research Engineer
at Npv
About this role
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.
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Real Remote Score 32/100 · see the full breakdown
Real Remote Score
32/100
Weak
- Comp
- 0/25
- Location
- 4/25
- Source
- 5/15
- Clarity
- 3/15
- Freshness
- 20/20
Why this score? ▾
- Compensation · No salary disclosed 0/25
- Location · Specific city or narrow scope 4/25
- Source · Generic aggregator 5/15
- Role clarity · Neither seniority nor stack in title 3/15
- Freshness · Posted yesterday 20/20
How the Real Remote Score is calculated → · Score appeals & corrections
Hybrid Transparency Score 45/100 · see the full breakdown
Hybrid Transparency Score
45/100
Mixed
- Days
- 0/30
- Location
- 30/30
- Schedule
- 0/15
- Relocation
- 15/15
- Source
- 0/10
This role is hybrid: it expects some in-office presence. HTS grades how clearly the employer discloses the hybrid terms. How the Hybrid Transparency Score works →
Posted via Arbeitnow. Applications are handled by Npv. RemNavi earns no commission.
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