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Applied Scientist Internship
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Who You Are
Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
- Pursuing a PhD / Master's in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome.
- Preferred duration: at least 6 months. Priority to candidates about to finalise their studies.
- Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
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What The Job Involves
Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns to drive innovative research and collaborate with clients on complex research projects.
- You will develop SOTA models across different modalities such as text, image, and speech.
- By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains.
- Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.
- Run pre-training, post-training, and deploy state-of-the-art models on clusters with thousands of GPUs.
- Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation, and deployment.
- Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines.
- Manage research projects and communications with client research teams.
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Benefits
- Competitive bonus structure.
- Equity.
- Opportunities for professional growth and development.
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