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Overview
Join Arago as a Senior AI/ML Scientist to develop methods for AI models to run accurately on novel computing architectures. Work at the intersection of AI and semiconductors in a diverse, fast-paced environment. Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles:
- •Do great things: we deliver work we’re proud to sign our name to.
- •High velocity: speed matters. We move quickly, one step at a time.
- •One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie.
What you'll do
- •Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and 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 models, diffusion, video generation, and world models.
- •Develop simulation tools to model analog behavior with minimal computational overhead.
- •Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes.
- •Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy.
- •Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Conditions
- •Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
- •Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
- •Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
- •Healthcare coverage (including family).