Character.AI

Character.AI

Research Engineer, Post-Training (All Industry Levels)

Redwood City or New York City

Sponsorship not specifiedDetected 910 days ago
AlgorithmsDockerKubernetesMachine LearningData EngineeringNLPA/B TestingResearch

About the role

  • Joining us as a Research Engineer on the Post-Training team, you'll be diving into the exciting world of fine-tuning AI models, optimizing their performance, and ensuring they meet the highest standards of quality and efficiency.
  • Your work will directly contribute to our groundbreaking advancements in AI, helping shape an era where technology is not just a tool, but a companion in our daily lives.
  • At Character.AI http://Character.AI, your talent, creativity, and expertise will not just be valued-they will be the catalyst for change in an AI-driven future.

Responsibilities

  • Develop alignment algorithms and loss functions to improve data sample efficiency.
  • Design sampling algorithms to improve serving efficiency of large generative models.

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)
  • ABOUT CHARACTER.AI
  • Character.AI http://Character.AI empowers people to connect, learn and tell stories through interactive entertainment.
  • Over 20 million people visit Character.AI http://Character.AI every month, using our technology to supercharge their creativity and imagination.
  • Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
  • In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach.

Benefits

  • Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)
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This listing is sourced directly from Character.AI's careers page and normalized into a canonical job model.