Jobs at Character.AI

As a Software Engineer for monetization, you will optimize user-facing features for payments and subscriptions, collaborate on UI/UX, and analyze monetization metrics. A strong background in consumer products and modern front-end technologies is required.

Develop user-friendly interfaces, collaborate with design for optimal user experience, and maintain design consistency within the team.

As a Research Engineer, you will lead video model training, design multimodal generation architectures, and create data pipelines for AI visuals.

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.

As an Applied ML Software Engineer, you will design and implement ML models, manage cloud infrastructure, and optimize backend systems for AI-driven content discovery and recommendations.

Lead AI infrastructure initiatives, drive cross-functional team alignment, manage infrastructure metrics, and improve developer efficiency while ensuring scalability.

Define audience and inventory segmentation to drive pricing; manage weekly geo-tiered price-floor governance; monitor revenue, investigate anomalies, and run A/B tests; build dashboards linking segments, floor changes, and revenue; align ad strategy with subscriptions and other monetization initiatives; support demand integrations and translate findings for stakeholders.

Lead go-to-market strategies for product launches, manage app store optimization, write in-product monetization copy, and collaborate cross-functionally to drive user engagement and conversion.

Partner with the CPO to own end-to-end execution of product, design, and engineering initiatives. Remove cross-functional blockers, optimize roadmaps and processes across the SDLC, synthesize decisions from meetings, and apply AI-driven workflows to capture knowledge and improve team velocity. Serve as an executive-facing fixer with high agency, solving ambiguous technical and operational problems to maintain momentum.

As a Research Engineer, you'll fine-tune AI models, optimize performance, develop algorithms, and process data to enhance conversational AI experiences.

The role involves supporting ML infrastructure, building diagnostic tools, managing deployments, and optimizing GPU utilization for ML projects.

The role involves designing and developing backend systems and applied machine learning solutions for integrity and safety challenges in AI interactions. Responsibilities include leading technical solutions, collaborating with cross-functional teams, and mentoring engineers while establishing best practices in software engineering and machine learning.

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

Design, develop, and maintain backend systems. Implement APIs, optimize performance, and collaborate with teams to deliver efficient solutions.

Lead technical vision and execution for post-training systems that adapt OSS LLMs into production conversational products. Drive research in alignment, RL and fine-tuning, architect scalable training/inference infrastructure, build data pipelines and evaluation frameworks, and mentor teams to improve model behavior, safety, and user engagement at scale.