C
$225,000 – $400,000
Listed on CharacterAI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
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What they ask for
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