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Research Engineer, AI Safety & Alignment

225 000 - 400 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Research Engineer, AI Safety & Alignment: Conduct foundational research to enhance AI safety and alignment with an accent on developing evaluation methodologies and mitigating risks. Focus on implementing cutting-edge techniques and collaborating with teams to translate research into practical solutions.

Location: Hybrid in Redwood City, California, United States

Compensation: $225K–$400K plus equity

Company

Character.AI develops interactive AI entertainment products that help people connect, learn, and tell stories, serving more than 20 million visitors.

What you will do

  • Develop evaluation methodologies and metrics for the safety and alignment of large language models.
  • Research alignment, value learning, interpretability, and other techniques for making models robust, honest, and harmless.
  • Conduct adversarial testing to identify vulnerabilities and failure modes.
  • Analyze and mitigate bias, toxicity, and harmful model behavior using methods such as RLHF and fine-tuning.
  • Translate safety research into practical, scalable solutions with engineering and product teams.
  • Contribute to the AI safety research community through publications and presentations.

Requirements

  • PhD or equivalent experience in computer science, machine learning, or a related field.
  • Strong understanding of modern machine learning, especially transformers and reinforcement learning, with attention to safety implications.
  • Ability to write clear production-facing and training code.
  • Experience working with GPUs for training, serving, and debugging, plus data pipelines and data infrastructure.
  • Passion for responsible AI development and solving complex safety challenges.

Nice to have

  • Experience with product experimentation, A/B testing, and distributed large-model training.
  • Familiarity with ML deployment and orchestration using Kubernetes, Docker, and cloud platforms.
  • Experience with explainable AI, interpretability, AI safety, alignment, ethics, policy, or governance.
  • Publications in relevant machine learning journals or conferences.

Culture & Benefits

  • Health coverage for employees and families, with most premiums covered.
  • Generous 401(k) contribution.
  • Up to 20 weeks of paid parental leave.
  • Four weeks of paid time off.
  • Daily in-office catering, monthly DoorDash stipend, and monthly wellness stipend.
  • Commitment to diversity and equal opportunity.

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