Назад
Company hidden
2 дня назад

Member of the Technical Staff (AI Research)

200 000 - 500 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Member of the Technical Staff (AI Research) (AI, reinforcement learning, synthetic data): Architecting and executing foundational research that advances model reasoning and intelligence, with an accent on post-training, alignment, benchmarking, and productionizing research. Focus on designing high-impact datasets and reward signals, building large-scale agent systems, and deploying deep learning algorithms in live systems.

Location: San Francisco, United States; on-site

Base salary: $200,000–$500,000+ per year. Additional compensation includes a sizable performance bonus and meaningful early-stage equity grant.

Company

hirify.global builds training data infrastructure, synthetic data, simulation, and learning-from-experience systems for AI labs, startups, and enterprise customers.

What you will do

  • Architect and execute foundational research advancing model reasoning and intelligence at scale.
  • Own the full research-to-production lifecycle, including rapid deployment into live systems.
  • Design and iterate on high-impact datasets, large-scale benchmarks, alignment methods, safety approaches, and reward signals with leading AI research teams.
  • Identify, scope, and manage long-running research projects focused on scaling data for AGI and ASI.
  • Collaborate with engineering teams on data pipelines, internal tooling, and high-performance deep learning implementations.
  • Develop large-scale agent systems covering orchestration, tool APIs, distributed execution, observability, and logging.

Requirements

  • PhD in a related field such as computer science, machine learning, or NLP is preferred.
  • World-class research publication record, preferably at venues such as NeurIPS, ICML, or ICLR.
  • Experience shipping research directly to production and live systems.
  • Experience with advanced post-training, distillation, high-stakes evaluation, and large-scale benchmarking.
  • Ability to master complex fields and take autonomous ownership of high-impact research problems.
  • Thoughtful perspective on the societal and safety implications of general-purpose AI systems.

Nice to have

  • Experience advising on or shaping governmental policy related to AI safety and governance.

Culture & Benefits

  • Work alongside former founders, machine learning engineers, roboticists, and data leaders from major technology and AI organizations.
  • Collaborate with leading AI labs, frontier startups, and F500 enterprises.
  • Health, dental, and vision coverage.
  • Flexible paid time off.
  • Performance bonus tied to project and company milestones.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →