Machine Learning Data Engineer III
Crunchyroll - Hyderabad, Telangana, India
Posted Apr 2, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Learning budget
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Schedule
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- Weekend work
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Application
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About this role
Machine Learning Data Engineer III Hyderabad, Telangana, India About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans. - Architect and implement end-to-end LLM-based applications, including chatbots, assistants, search agents, and knowledge discovery tools. - Design and deploy scalable RAG and GraphRAG pipelines using vector databases (e.g., Opensearch, Pinecone, Mongo) and document chunking strategies. - Fine-tune and optimize foundation models (e.g., Bedrock, Claude, Nova) for domain-specific use cases. - Own prompt design and evaluation - build prompt libraries and frameworks that enable rapid experimentation and reuse. - Develop APIs and microservices to serve LLM-based applications with real-time latency and uptime guarantees. - Collaborate with data, platform, and backend teams to integrate LLM capabilities into broader Crunchyroll product experiences. - Monitor and evaluate LLM systems in production for hallucination, latency, cost, and feedback loops. - Stay up to date with the latest in LLM
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