AI/ML Scientist — Quantization & Numerical Robustness

Arago
Paris
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Experimentation","Technical communication","Collaboration","Problem-solving","Research-to-engineering translation"]

Develop methods to help modern AI models run accurately, efficiently, and reliably on Arago’s computing system. You’ll define quantization strategies and numerical formats, study how numerical precision and analog noise affect model accuracy, and build simulation and experimentation pipelines for both physical and emulated prototypes. Serve as a technical point of contact to analyze, port, and optimize client models onto Arago hardware while collaborating with software and digital architecture teams.

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FursaFursa
Arago
Arago
2 months ago

AI/ML Scientist — Quantization & Numerical Robustness

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Develop methods to help modern AI models run accurately, efficiently, and reliably on Arago’s computing system. You’ll define quantization strategies and numerical formats, study how numerical precision and analog noise affect model accuracy, and build simulation and experimentation pipelines for both physical and emulated prototypes. Serve as a technical point of contact to analyze, port, and optimize client models onto Arago hardware while collaborating with software and digital architecture teams.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop Arago’s quantization strategy for modern AI models, including precision studies and numerical format exploration to preserve accuracy under constrained precision.
  • •Study the impact of analog noise on performance and inference accuracy across model types (language, diffusion, video generation, world models).
  • •Develop simulation tools to model analog behavior with minimal computational overhead.
  • •Build and maintain internal experimentation pipelines for precision and performance studies on physical and emulated prototypes.
  • •Act as a technical point of contact to analyze, port, and optimize client models onto Arago hardware while collaborating with software and digital architecture teams.

Pay and Benefits

Perks:EquityAnnual BonusHealth InsuranceLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •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 with numerical precision, noise, approximation, and inference performance optimization.
Experience:AIMachine learningComputer hardwareDeep tech
Skills:ExperimentationTechnical communicationCollaborationProblem-solvingResearch-to-engineering translation
Languages:EnglishFrench
Tech Stack:GitHubGPU architectureParallel computingQuantizationLanguage modelsDiffusion modelsWorld models

Company Brief

Arago
Develops energy-efficient photonic AI processors (codenamed “JEF”) that use light-based computation to drastically reduce energy consumption for AI workloads, targeting data centers and large-scale inference deployments.
Industry: Deep Tech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
Glassdoor
Glassdoor: 3.9
WebsiteGlassdoor