Character.AI
Research Engineer, Post-Training (All Industry Levels)
$225K–$400K
Redwood City or New York City · Hybrid · Full-time · Posted Jan 24, 2024
- Education
- PhD or equivalent
About the job
Develop and improve post-training methods for language models, including alignment, data processing, performance evaluation, and serving efficiency.
What you'll do
- Develop alignment algorithms and loss functions to improve data sample efficiency.
- Build pipelines that process diverse web data for model training.
- Identify real-world model quality signals and design sampling algorithms to improve serving efficiency.
What they ask for
- PhD or equivalent.
- Write clear, clean production-facing and training code.
- Experience with GPUs, data pipelines, and data infrastructure.
- Strong understanding of modern machine learning techniques and a track record of exceptional research or creative applied ML projects.
Nice to have
- Experience with product experimentation and A/B testing, or distributed large-model training.
- Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud); relevant machine learning publications.
Pay
$225K – $400K USD base salary
Tools
GPUs, reinforcement learning, transformers, Kubernetes, Docker
AI focus
Fine-tune and align language models, improve training methods and performance, and optimize serving efficiency.
Model-written summary · the original posting is authoritative