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4 дня назад

AI Researcher (Chip-Engineering)

200 000 - 400 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK/US/Denmark +1 еще
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 Researcher (Chip-Engineering): Own the end-to-end process of creating reinforcement learning environments and data strategies for chip-engineering and EDA-related AI models with an accent on reward design, vendor management, and model evaluation. Focus on designing RL environments, managing external vendor relationships, developing QA frameworks, and running generalization experiments to improve model capabilities.

Location

Location: New York City, Copenhagen, London, Silicon Valley with hybrid work format

Company

hirify.global is an applied AI company building foundational hardware and software for the semiconductor industry and AI infrastructure in partnership with leading institutions worldwide.

What you will do

  • Own the end-to-end process of creating reinforcement learning environments for chip-engineering and EDA-related tasks.
  • Build and manage relationships with external vendors, including data quality evaluation and reward design.
  • Collaborate with domain experts to design data pipelines and evaluations.
  • Develop and improve QA frameworks to ensure environment quality and prevent reward hacking.
  • Run generalization experiments to measure improvements in model capabilities.
  • Partner with AI researchers and product teams to translate capability goals into training environments and product features.

Requirements

  • Experience with post-training large language models for specific domains or real-world use cases.
  • Experience with reinforcement learning, reward design, or training data curation for LLMs.
  • Comfortable managing technical vendor relationships and iterating on feedback.
  • Strong cross-functional collaboration skills.
  • Passion for AI applications in chip development and hardware self-improvement.
  • Experience training production ML systems and designing evaluations or benchmarks for LLMs is a plus.

Culture & Benefits

  • Commitment to competitive and equitable compensation including salary and equity.
  • Inclusive and diverse work environment.
  • Reasonable accommodations for individuals with disabilities.

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