Jobs at Crunchyroll

The Data Engineer III will design, implement, and optimize data services, ensuring they meet business needs and drive automation and best practices across Crunchyroll's data environments.

Lead research, development, and deployment of recommendation and personalization ML models. Design algorithms, build end-to-end pipelines, optimize for accuracy/latency/scale, integrate solutions into production, implement monitoring/bias detection/retraining, and collaborate on experimentation and product integration to improve user engagement and retention.

Operate and improve reliability of large-scale database infrastructure: own 24x7 production support and on-call, build reusable database IaC and automation, standardize configurations, manage cluster operations and migrations, implement monitoring/observability, and document incident response and operational playbooks.

Own and improve the reliability, scalability, and performance of Crunchyroll's data infrastructure. Lead database strategy, optimize SQL and schemas, perform deep engine-level forensics, design AWS-native database architectures (RDS/Aurora/DynamoDB), implement monitoring/alerting and IaC automation, mentor engineers, and collaborate with SREs and application teams to eliminate bottlenecks and ensure operational excellence.

Senior technical leader who defines long-term technical strategy, creates reusable architectural patterns, coaches senior engineers, and drives organizational learning to increase engineering capability, reliability, and developer productivity across teams.

The Staff DevOps Engineer will lead infrastructure automation, scaling, and CI/CD processes, collaborating with teams to ensure high-quality software delivery and operational excellence.

Develop and implement new features for Crunchyroll's iOS and Apple TV apps while ensuring code quality through reviews and testing.

As a Software Engineer III, you'll implement new features for Crunchyroll's iOS and Apple TV app, ensuring code quality and collaborating with teams on technical design and dependency management.

Lead research and applied science for personalization and recommender systems across Crunchyroll products. Define problems, build and evaluate models (ranking, retrieval, sequence, bandits, LLM-enabled approaches), design offline/online experiments, collaborate with product and engineering to productionize solutions, and establish best practices for experimentation, reproducibility, and model governance to improve discovery, engagement, and long-term user value.