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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. Find Jobs in France on Arbeitnow

We're looking for an ML Infrastructure Enginee r 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 - Build scalable RL and post-training pipelines, including smoke tuning runs for quality testing and ablations. - Design data control systems for rollouts, replay, filtering, evaluation, and policy updates. - Tune training and inference end-to-end for throughput: networking, memory, scheduling, data loading, storage, checkpointing, I/O. - Build infrastructure for model iteration (experiment runs, artifacts, evals, dashboards, reproducibility, cost visibility) and inference infrastructure for post-training and eval loops. - Build agentic development environments: coding-agent harnesses, tool integrations, runtime sandboxes, multi-agent orchestration. Requirements - Hands-on experience designing and running distributed RL/post-training systems at scale (rollouts, replay buffers, reward signals, policy updates, eval loops). - Strong Python (concurrency, async, multiprocessing, performance optimization) and PyTorch or JAX. - Debugging distributed GPU workloads across CUDA, drivers, containers, NCCL, networking, storage, and checkpointing. - Profiling across the stack (py-spy, PyTorch profiler, Nsight, perf, tracing). - Inference stacks: vLLM, SGLang, TensorRT-LLM, Dynamo, or custom serving. - Ability to connect system metrics to model behavior and learning dynamics. - Relocation to Paris (hybrid) required. Bonus - Public builder footprint: open-source contributions to RL, distributed ML, inference, eval, or agent infra; active technical presence on X. - Experience at high-bar AI infra/research teams (xAI, Qwen, ByteDance, Prime Intellect, or similar). - Ownership of custom training frameworks, trainers, schedulers, or data loaders. - GPU clusters on Kubernetes, Slurm, Ray; NCCL, RDMA, InfiniBand, RoCE, or EFA. - Rust, C++, CUDA, or Go; serious use of agentic coding tools (Claude Code, Codex, or similar). We offer - Competitive salary + equity. - Hybrid work from Paris with relocation package. - Top-tier medical insurance in France and flexible time off. - L&D budget, all hardware and tools you need, plus covered AI agent and IDE subscriptions. - Team off-sites twice a year. Find more English Speaking Jobs in France on Arbeitnow

We're looking for a QA Engineer 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. This is a manual-first product QA role, with automation as a key tool. You will - Manually test new features and fixes across the web platform and APIs in fast release cycles, sometimes as short as one working day. - Identify the highest-risk areas, run exploratory, smoke, regression, and integration testing, and give clear release feedback. - Write concise test plans and checklists, investigate unexpected behavior, and file reproducible bug reports. - Work with engineers and product owners to clarify requirements and improve testability before development is complete. - Automate stable, business-critical flows with Playwright and Python, and integrate them into CI/CD. Requirements - 2+ years in QA automation, including building frameworks from scratch. - Strong Playwright experience for E2E UI testing and scalable test suite design. - Clean Python automation code (pytest, fixtures, parametrize). - Hands-on CI/CD integration (GitHub Actions, GitLab CI, or similar). - Practical use of AI coding agents and LLM-powered developer tools in testing workflows. - Fluent English and clear communication. - Based in or relocating to Paris or London (hybrid). Bonus - Testing AI/LLM products: non-deterministic outputs, confidence scoring, edge-case prompts. - Performance or load testing (k6, Locust). - API testing tools (Postman, Insomnia, Yaak) or contract testing. - Security-aware QA or SOC 2 environments. We offer - Competitive salary + equity. - Hybrid work from Paris or London, relocation package for Paris. - Top-tier medical insurance in France and flexible time off. - L&D budget, all hardware and tools you need, plus covered AI agent and IDE subscriptions. - Team off-sites twice a year. Find more English Speaking Jobs in France on Arbeitnow