Currently tracking 10 active AI roles, down 20% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $150k–$350k (avg $250k).
Character AI has 11 active AI-related job listings, with a significant focus on post-training roles, accounting for 36% of their openings. Engineering is their most frequent hiring function. The company is actively seeking candidates with expertise in areas such as model serving, inference infrastructure, and fine-tuning.
Character AI currently has 10 active AI-related roles in our index. The most common open titles are: Machine Learning Infrastructure Engineer, Product Manager, Core Product, Research Engineer, AI Safety & Alignment, Research Engineer, Multimodal, Research Engineer, Post-Training (All Industry Levels). Most positions are in Engineering and Research.
Character AI's active AI hiring is concentrated in: post-training (40%), application (20%), serving infrastructure (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Character AI is hiring AI talent in: United States (10 roles).
Job postings at Character AI most frequently reference: model serving, inference infra, fine tuning, rl post training, guardrails.
In the past 30 days, Character AI has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Technical Program Manager, Model Alignment and Deployment Character AI is seeking a Technical Program Manager to lead cross-functional efforts in model alignment and deployment, connecting Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and UXR teams. The role involves driving planning and execution of programs related to data pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails, and model serving. Responsibilities include developing evaluation frameworks, ensuring operational excellence, and partnering with leadership on prioritization and tradeoffs. Requires 5+ years of TPM experience in AI/ML, familiarity with post-training and alignment concepts, and proficiency in SQL and Python. | Post-trainServe | 8 |