Research Engineer, Code Agents Infra

Highlights

• Build execution and training infrastructure powering Mistral's agentic models.
• Operate platform running 1M+ isolated sandboxes for untrusted code execution.
• Scale synthetic data pipelines fueling post-training and RL loops.

What they offer

• healthcare coverage
• parental leave
• retirement plans
• relocation support
• wellness programs
• meal and transportation allowances

Ideal candidate

Systems-minded builder who thrives in ambiguity and loves partnering with researchers to turn frontier agent ideas into reliable, production-grade infrastructure at massive scale.

Requirements

• 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads
• Proven experience building high-throughput data processing and generation pipelines for large-scale datasets
• Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers
• Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance systems
• Hands-on experience with lightweight virtualization, container runtimes, or WASM
• Deep familiarity with task queue systems, resource schedulers, and low-latency queuing for high-volume, short-lived workloads
• Passion for working directly alongside AI researchers to turn frontier agent ideas into scalable infrastructure