Назад
обновлено 3 дня назад

Research Engineer Scientist (AI)

350 000 - 500 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Research Engineer Scientist (AI): Building and running machine learning experiments to understand and steer powerful AI systems with an accent on AI safety, alignment, and robustness. Focus on designing and executing empirical research, developing safety techniques, and collaborating across teams to address challenges in advanced AI behavior and control.

Location: San Francisco, CA; hybrid policy requiring staff to work from one of the offices at least 25% of the time. Candidates are preferably based in the Bay Area.

Annual salary: $350,000–$500,000 USD

Company

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems designed to be safe and beneficial.

What you will do

  • Design and run machine learning experiments for alignment science and AI safety.
  • Develop techniques for scalable oversight, AI control, alignment stress-testing, automated alignment research, and model welfare assessment.
  • Train language models to test the robustness of safety techniques and investigate potential alignment failures.
  • Run multi-agent reinforcement learning experiments, including AI Debate-style evaluations.
  • Build tools to evaluate LLM-generated jailbreaks and create scripts and prompts for testing model reasoning in safety-relevant contexts.
  • Contribute ideas, figures, and writing to research papers, blog posts, talks, and responsible scaling efforts.

Requirements

  • Significant software, machine learning, or research engineering experience.
  • Experience contributing to empirical AI research projects.
  • Some familiarity with technical AI safety research.
  • Strong collaboration and communication skills in fast-moving research projects.
  • Python is used for all interviews.
  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

  • Research publications in machine learning, NLP, or AI safety.
  • Experience with LLMs or reinforcement learning.
  • Experience with Kubernetes clusters and complex shared codebases.

Culture & Benefits

  • Collaborative research environment focused on large-scale AI safety efforts.
  • Frequent research discussions and cross-team collaboration with Interpretability, Fine-Tuning, and Frontier Red Team groups.
  • Competitive compensation, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
  • Visa sponsorship is available, with reasonable efforts and immigration-lawyer support for successful candidates.
  • Office space designed for collaboration.

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 →