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Research Engineer, Machine Learning

📅 Jul 10
Machine LearningDeep LearningPythonPytorch

📜 Description

  • Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
  • Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
  • Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
  • Design, implement and benchmark ML algorithms; write clear, efficient code in Python .
  • Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

🛠️ Requirements

  • Master's or PhD in Computer Science (or equivalent proven track record).
  • 4 + years working on large-scale ML codebases.
  • Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
  • Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
  • Strong software-design instincts: testing, code review, CI/CD.
  • Self-starter, low-ego, collaborative.

Benefits

  • Research Engineer, Machine Learning @ Mistral

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