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Whitecirclevia Ashby

MLE/MLOps

Paris$100K - $150K/yrPosted 4mo ago
MLOpsMid LevelFull-time

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About the Role

TLDR: We're looking for an MLE / MLOps to own our inference stack – from optimizing serving engines to building vector search pipelines – bridging Research and Product to ship models that are fast, cheap, and production-ready.



ABOUT US

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

- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model



WHAT YOU'LL DO

- 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.

- Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs.

- Turn research into product: grab experimental models from the research team, figure out what's production-ready, and ship it - formatting, sampling parameters, deployment, the whole thing



WHO YOU ARE

- 3+ years shipping high performance ML systems in production, not just training notebooks

- Deep hands-on experience with inference optimization - you've debugged latency spikes and know the difference between theoretical and real-world throughput

- Comfortable across the stack: from CUDA kernels to Kubernetes manifests to Grafana dashboards

A big plus: experience with Rust, custom Triton kernels, benchmarks



WHY WHITE CIRCLE

- Salary of $100,000 to $150,000 + equity

- Paid time off in line with your local regulations, no matter where you work from

- 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: we've recently been to the Alps and to Saint-Tropez



HOW WE HIRE

1. Intro call with one of our colleagues

2. Complete the take-home exercise

3. Show your best during the technical interview

4. Final call with our CEO and CTO
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