Internship - Machine Learning and AI - Foundation Model Infrastructure

This internship is based in Paris, France.

Responsibilities:

• Collaborate with engineers to analyze and optimize inference performance for language, vision, and multimodal models.
• Develop tools and utilities that help understand bottlenecks across hardware platforms and workloads.
• Contribute to the design and evaluation of new techniques for efficient model serving and deployment.
• Learn about distributed systems, GPU computing, and large-scale ML workflows in a production environment.

Minimum Qualifications:

• Currently pursuing a Master's degree in Computer Science, Machine Learning, or a related field.
• Solid understanding of ML fundamentals, data structures, and algorithms.
• Proficiency in Python and good coding practices.
• Strong collaboration, curiosity, and problem-solving skills.

Preferred Qualifications:

• Experience with PyTorch or TensorFlow.
• Familiarity with Transformer models or large-scale ML architectures.
• Exposure to GPU programming, Docker, Kubernetes, or cloud environments.
• Interest in distributed systems, inference optimization, or ML deployment.