MLE / MLOps

Role details

• Location: Paris
• Employment Type: Full time
• Location Type: Hybrid
• Department: Research team
• Compensation: $100K – $150K • Offers Equity • Relocation package

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

Tech stack

• TensorZero
• vLLM/SGlang/TRT
• Kubernetes
• CUDA
• Rust (bonus)
• Custom Triton kernels (bonus)
• Grafana dashboards

Team description

Department: Research team

Benefits & perks

• 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: Alps and Saint-Tropez