Research Engineer (AI)

TL;DR

Research Engineer (AI): Fine-tuning AI models and optimizing their performance with an accent on developing alignment algorithms and improving data sample efficiency. Focus on designing sampling algorithms and enhancing model performance in real-world applications.

Location: Redwood City or New York City

Compensation Range: $225K - $400K

Company

Character.AI empowers people to connect, learn and tell stories through interactive entertainment.

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 our model’s performance in the real world.
• Design sampling algorithms to improve serving efficiency of large generative models.

Requirements

• PhD (or equivalent) in a relevant field.
• Experience working with GPUs (training, serving, debugging).
• 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.