ML Research Engineer
Salary not disclosedHybrid
- Engineering
- Paris
- Full time
- Today
Newly posted
About the role
White Circle is an AI safety company building the reliability and optimization layer for AI systems through natural-language policies. The company processes over 100 million API calls monthly and trains its own LLMs to improve performance and cost efficiency. This role involves building scalable data pipelines, developing representation models, and using LLMs for automated diagnostics and data enrichment.
Responsibilities
- Turn petabytes of unstructured text into a structured, explorable view including topics, clusters, segments, trends, and anomalies.
- Build scalable representation pipelines covering sampling, preprocessing, embeddings, indexing, and retrieval.
- Use LLMs for labeling, weak supervision, data enrichment, and automated diagnostics with cost and quality controls.
- Translate findings into product and operational decisions and ship self-serve datasets, data models, and dashboards.
- Collaborate with engineering and research teams to align pipelines with production constraints such as latency, cost, and privacy.
Required skills
- Python
- SQL
- NLP
- ML
- Embeddings
- Clustering
- Topic modeling
- Semantic search
- Classification
- Distributed processing
- Large-scale storage
- Drift monitoring
Nice to have
- Open-source model development
- RL for LLMs
- Online RL
- GRPO
- Multilingual model training
Qualifications
- Production-grade pipeline engineering experience
- Applied NLP/ML experience on real-world text
- Experience with large-scale data at scale
- Experience with safety/moderation datasets or policy systems
Benefits
- Equity
- Private health insurance
- Mental health support
- Flexible time off
- Lunch and dinner provided
- Learning and development budget
- Relocation support
About the Company
White Circle is an AI safety company building the safety, reliability, and optimization layer for AI systems through natural-language policies. The company is backed by $70M in Series A funding from top investors and leaders at OpenAI, Anthropic, HuggingFace, Mistral, and DeepMind.