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
This role bridges AI safety research and engineering, focusing on developing evaluation methods, alignment techniques, and adversarial testing to make large language models safer and more aligned with human values. It suits researchers with machine learning expertise who want to apply rigorous technical work directly to mitigating AI risks 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 experience in Computer Science, Machine Learning, or related field
- Production-quality code writing
- GPU experience (training, serving, debugging)
- Data pipeline and infrastructure experience
- Strong understanding of transformers and reinforcement learning with focus on safety implications
- Commitment to responsible AI development
Nice to have
- Product experimentation and A/B testing experience
- Distributed large model training experience
- ML deployment and orchestration tools (Kubernetes, Docker, cloud platforms)
- Explainable AI and interpretability techniques
- Prior AI safety, alignment, or ethics research
- Understanding of AI policy and governance implications
- Academic publications in machine learning