Character.AI

Character.AI

Research Engineer, AI Safety & Alignment

Redwood City, CA

Sponsorship not specifiedDetected 292 days ago
DockerKubernetesMachine LearningData EngineeringNLPLLMsA/B TestingResearch

About the role

  • Joining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safety and alignment.
  • The Safety team is dedicated to pioneering and implementing techniques that make our models more robust, honest, and harmless.
  • As a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products.

Responsibilities

  • Develop and implement novel evaluation methodologies and metrics to assess the safety and alignment of large language models.
  • Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best practices.

Requirements

  • Experience working with GPUs (training, serving, debugging)
  • Experience with data pipelines and data infrastructure

Nice to have

  • Experience with product experimentation and A/B testing
  • Experience training large models in a distributed setting
  • Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)
  • Experience with explainable AI (XAI) and interpretability techniques.
  • Have research in AI safety, alignment, ethics, or a related area.
  • Knowledge of the broader societal and ethical implications of AI, including policy and governance.
  • ABOUT CHARACTER.AI
  • Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment.

Benefits

  • Research and develop cutting-edge techniques for model alignment, value learning, and interpretability.
  • Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning.
  • Hold a PhD (or equivalent experience) in a relevant field such as Computer Science, Machine Learning, or a related discipline.
  • Strong understanding of modern machine learning techniques, particularly transformers and reinforcement learning, with a focus on their safety implications.

This listing is sourced directly from Character.AI's careers page and normalized into a canonical job model.