Senior AI/ML Scientist: Quantization & AI Hardware

Arago

Paris

Sur place

EUR 80 000 - 110 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Competitive cash compensation
Stock options
Relocation bonus
Healthcare coverage
Professional development support
25 days PTO plus public holidays
50% public transport reimbursement

Résumé du poste

Arago, based in Paris, is looking for a Senior AI/ML Scientist to advance their AI models and computing systems. You will develop methods to ensure the running of AI models accurately and efficiently on Arago's unique technology.

The ideal candidate will possess a strong foundation in applied mathematics and statistics, significant experience in quantization, and an understanding of model architectures. You'll enjoy a competitive compensation package with relocation assistance and comprehensive benefits, alongside dynamic multicultural teamwork.

Qualifications

  • Strong interest and skills in applied mathematics and statistics.
  • Strong experience with quantization of machine learning and AI models.
  • Good knowledge of GPU architecture or parallel computing.
  • Language proficiency in English; French is a plus.

Responsabilités

  • Develop quantization strategy for AI models.
  • Study impact of analog noise on performance accuracy.
  • Build simulation tools for analog behavior.
  • Maintain internal experimentation pipelines.
  • Act as a technical point of contact for clients.
  • Collaborate with software and architecture teams.

Connaissances

Applied mathematics
Statistics
Quantization of ML models
Understanding of model architectures
Experience with performance optimization
Knowledge of computer architecture
Experimentation pipelines
GitHub projects

Formation

Background in mathematics, physics or related field

Description du poste

Arago, based in Paris, is looking for a Senior AI/ML Scientist to advance their AI models and computing systems. You will develop methods to ensure the running of AI models accurately and efficiently on Arago's unique technology.

The ideal candidate will possess a strong foundation in applied mathematics and statistics, significant experience in quantization, and an understanding of model architectures. You'll enjoy a competitive compensation package with relocation assistance and comprehensive benefits, alongside dynamic multicultural teamwork.

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