Applied Scientist / Research Engineer (internship)

Mistral AI Mistral AI · AI Frontier · Paris, France · Solutions

Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects. The role involves developing SOTA models across text, image, and speech, applying novel methods to diverse use cases, and delivering high-impact AI solutions. Responsibilities include running pre-training, post-training, and deployment on large GPU clusters, generating and curating data, developing tools for training and evaluation, collaborating on agent and RAG pipelines, and managing client research projects.

What you'd actually do

  1. Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.
  2. Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.
  3. Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
  4. Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
  5. Manage research projects and communications with client research teams.

Skills

Required

  • PyTorch or JAX
  • Python code
  • English fluency
  • communication skills

Nice to have

  • PhD / master in a relevant field
  • agents
  • multi-modality
  • robotics
  • diffusion models
  • time-series analysis
  • contributed to a large codebase
  • publications in top academic journals or conferences
  • improving existing code by fixing typing issues, adding tests and improving CI pipelines

What the JD emphasized

  • track record of success through personal projects, professional projects or in academia
  • track record of publications in top academic journals or conferences

Other signals

  • develop SOTA models across different modalities
  • apply these models across a diverse set of use cases
  • deliver high-impact AI solutions
  • collaborate with cross-functional teams
  • tackle complex use cases using agents and RAG pipelines
  • manage research projects and communications with client research teams