# Research Engineer, Post-Training (All Industry Levels)

Hiring organization: [CharacterAI](https://career.thegoodapps.co/organizations/characterai)

Canonical page: https://career.thegoodapps.co/jobs/e47a0119-68fc-46a7-ae5b-5959fb20caf4

Listed on CharacterAI's own careers site. Applications go to them directly.

- Location: New York, NY
- Remote: yes
- Salary: 225000 – 400000 USD per year

## Summary

You'll develop and optimize post-training algorithms for large language models, working on everything from data pipelines and alignment techniques to sampling strategies that improve how millions of users experience conversational AI. This role suits researchers with a PhD and strong ML fundamentals who want to directly shape product quality at scale.

_Our summary, not CharacterAI's wording._

## Skills named

Data Pipelines, Docker, Kubernetes, Python, PyTorch, Reinforcement Learning, TensorFlow

## Required

- PhD or equivalent research degree
- Production-level Python code proficiency
- GPU training and debugging experience
- Data pipeline and infrastructure experience
- Deep knowledge of modern ML techniques including reinforcement learning and transformers
- Demonstrated track record in research or applied ML projects

## Nice to have

- A/B testing and product experimentation
- Large-scale distributed model training
- ML deployment and orchestration tools like Kubernetes and Docker
- Publications in peer-reviewed ML conferences or journals

Apply on CharacterAI's site: https://jobs.ashbyhq.com/character/449bf7c1-41d7-47a4-89a7-0ee0b31f5918/application