MI
Mistral.aiVerified Direct Sponsor
ParisĀ·unknownĀ·full time
Live VacancyĀ·Posted 0d ago
Research Engineer, Forge
GBP 55,000 ā 85,000 / yr
UK Skilled Worker Visa
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Salary Package
GBP 55,000 ā 85,000 / yr
Standard baseline compensation
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unknown Ā· GB
Paris
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Job Description & Specifications
Official role breakdown, eligibility standards, and core responsibilities
Key Requirements:PythonKubernetes
Research Engineer, Forge at Mistral.ai
š Paris
What you will do
- Build and improve postātraining and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge ārecipesā.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden largeāscale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable postātraining systems at frontier-model scale)
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, ā¦)
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
About you
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Handsāon experience with PyTorch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or postātraining: fineātuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and nonātechnical stakeholders.
- High agency, low ego, and comfort in fastāmoving, underāspecified environments.
Nice to have
- Distributed training experience (FSDP, DeepSpeed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or largeāscale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Openāsource contributions, publications, or widely used internal tooling.
- Experience training multiābillionāparameter models (preātraining or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
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Job Overview
EmployerMistral.ai
LocationParis
Workplaceunknown
CompensationGBP 55,000 ā 85,000 / yr
Posted0 days ago
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