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11 часов назад

AI Research Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Research Engineer (AI): Architecting the reasoning core for Luma's world-modeling and simulation products with an accent on multimodal representations and scaling laws. Focus on bridging the gap between training loss and user experience through rigorous experimentation and high-performance research infrastructure.

Location: Redwood City, CA (Hybrid)

Company

hirify.global is building unified general intelligence capable of generating, understanding, and operating in the physical world, with a core focus on multimodality and vision-based intelligence.

What you will do

  • Architect the reasoning core for world-modeling and simulation products like Dream Machine and Ray3.
  • Co-design multimodal representations and establish rigorous scaling laws for model training.
  • Develop proxy tasks and automated metrics to align training loss with user experience.
  • Build high-velocity research infrastructure, ensuring production-research parity and reproducibility.
  • Optimize training runs on large-scale GPU clusters.

Requirements

  • Degree in Computer Science, Machine Learning, Physics, or Mathematics.
  • First-principles intuition for scaling and understanding of architectural success/failure.
  • Fluency in both frontier AI research and engineering.
  • Experience with distributed or high-performance computing and GPU cluster optimization.
  • Ability to design, execute, and analyze rigorous experiments.

Nice to have

  • Track record of publications at top-tier venues like NeurIPS, ICML, or ICLR.
  • Experience building research infrastructure with production-research parity.
  • Strong software engineering practices including testing and documentation.
  • Knowledge of low-precision training and hardware-aware optimization.

Culture & Benefits

  • Opportunity to work on core research that powers all company products.
  • Environment treating science and engineering as a single, unified discipline.
  • Focus on high-velocity work and rapid experimentation.
  • Equal opportunity employer committed to building general intelligence.

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