Character AI
AI Frontier · AI characters
- Founded
- 2022
- Website
- character.ai
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 9 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 (44%), application (22%), serving infrastructure (22%). 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 (9 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.
Currently tracking 10 active AI roles, down 20% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $150k–$350k (avg $250k).
AI Frontier · AI characters
| Title | Stage | AI score |
|---|---|---|
| Research Engineer, Multimodal Research Engineer focused on multimodal AI, specifically video and image generation models. The role involves training, fine-tuning, and deploying these models, including joint audio-visual generation and image-to-video. It also includes designing new architectures, optimizing models for inference, and building large-scale data pipelines. The company is a consumer-facing AI platform. | Post-trainServe | 9 |
| Research Engineer, AI Safety & Alignment Research Engineer focused on AI safety and alignment for large language models. Responsibilities include developing evaluation methodologies, researching alignment techniques, conducting adversarial testing, mitigating harmful behaviors using RLHF and fine-tuning, and translating research into scalable solutions. Requires a PhD or equivalent, strong coding skills, GPU experience, and understanding of transformers and reinforcement learning with a focus on safety implications. | Post-trainEval Gate | 9 |
| Research Engineer, Post-Training (All Industry Levels) Research Engineer on the Post-Training team responsible for fine-tuning AI models, optimizing performance, and ensuring quality and efficiency. Works on alignment algorithms, data pipelines, quality signals, and sampling algorithms for large generative models to shape conversational experiences. | Post-train | 9 |
| 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 |
| Machine Learning Infrastructure Engineer Machine Learning Infrastructure Engineer to design, build, and maintain training and serving infrastructure for ML research, focusing on GPU allocation and utilization, cluster issue diagnosis, and deployment monitoring. | ServeData | 8 |
| Technical Program Manager, AI Infrastructure Technical Program Manager for AI Infrastructure at Character.AI, focusing on leading programs for model development and serving systems at scale. This role involves shaping infrastructure strategy, aligning roadmaps, and driving execution across training, evaluation, and inference, ensuring systems are reliable, efficient, and scalable for millions of users. The TPM will partner with engineering, research, and product teams, manage complex initiatives, track key metrics, and improve developer velocity. | ServePost-train | 7 |
| Product Manager, Core Product Product Manager for Character.AI's core product, focusing on conversations, characters, and creator tools. The role involves translating AI model capabilities into engaging consumer experiences, driving innovation in AI entertainment, and collaborating with research, engineering, and design teams. Success is defined by sustained user engagement and product quality. | Ship | 7 |
| Software Engineer, Backend/Applied ML (Safety & Integrity) Software Engineer, Backend/Applied ML (Safety & Integrity) at Character.AI. Focuses on designing, developing, and scaling backend systems and applying ML to address integrity and safety challenges in human-to-AI interaction, particularly for Generative AI products. Involves content classification, anomaly detection, risk scoring, and developing safeguards. | AgentPost-train | 7 |
| Software Engineer, Applied ML (Discovery, Recommendation & Search) Software/ML Engineer to build and optimize applied ML models and infrastructure for Character.AI's consumer-facing discovery surfaces (recommendation, ranking, search), including data pipelines, model training, and serving. Focus on shipping intelligent features end-to-end. | ShipServe | 7 |