обновлено 7 дней назад
Research Engineer, AI Safety & Alignment
225 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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