Senior AI/ML Scientist
On-siteParis, Île-de-France, France
Job Summary
Develop Arago's quantization strategy for modern AI models by conducting precision studies, exploring numerical formats, and applying model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language, diffusion, video, and world models. Develop simulation tools to model analog behavior with minimal computational overhead and build internal experimentation pipelines for precision and performance studies on physical and emulated prototypes. Act as the technical point of contact between clients and Arago to analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Required Qualifications
- Background in mathematics, physics, computer science, or a related quantitative field.
- Strong interest and skills in applied mathematics and statistics.
- Strong experience with quantization of machine learning and AI models.
- Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models.
- Experience studying the impact of numerical precision, noise, or approximation on model accuracy.
- Experience with inference performance optimization.
- Good knowledge of computer architecture, GPU architecture, or parallel computing.
- Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions.
- GitHub profile with recent and relevant projects.
- Language: English at a proficient level.
Desired Qualifications
- French is a plus.
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