Research Engineer, Post-Training (All Industry Levels)

The role

You will work on the Post-Training team to develop pretrained language models into intelligent and aligned products. You will improve model performance and training methods across data, compute, and algorithms.

What you will do

• Develop alignment algorithms and loss functions to improve data sample efficiency.
• Write data pipelines to process diverse web data into a format models can ingest.
• Identify quality signals to understand model performance in the real world.
• Design sampling algorithms to improve serving efficiency of large generative models.

Required qualifications

• At least PhD (or equivalent)
• Write clear and clean production-facing and training code
• Experience working with GPUs (training, serving, debugging)
• Experience with data pipelines and data infrastructure
• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)
• Track-record of exceptional research or creative applied ML projects

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)
• Publications in relevant academic journals or conferences in the field of machine learning

About the company

Character.AI empowers people to connect, learn and tell stories through interactive entertainment. The platform lets users engage with tens of millions of characters.