The vacancy is well-detailed with clear responsibilities, compensation, and tech stack, but lacks company links.
Job description
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 and fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model.
Responsibilities
- Own inference infrastructure end-to-end: optimize latency, throughput, and cost across our model fleet.
- Build and scale model serving with TensorZero, vLLM/SGlang/TRT, and Kubernetes.
- Design and maintain vector search pipelines with Vector storages.
- Turn research into product: grab experimental models from the research team, figure out what's production-ready, and ship it.
Requirements
- 3+ years shipping high performance ML systems in production.
- Deep hands-on experience with inference optimization.
- Comfortable across the stack: from CUDA kernels to Kubernetes manifests to Grafana dashboards.
- Experience with Rust, custom Triton kernels, benchmarks is a plus.
Conditions
- Salary of $100,000 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.
About White Circle
White Circle is a technology company specializing in AI safety and consulting services. It offers IT services and consulting as an enterprise software startup.
