Senior Manager, Data Science and Machine Learning
Crunchyroll - Hyderabad, Telangana, India
Posted Jul 24, 2025
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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- Childcare support
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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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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Manager, Data Science and Machine Learning 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. - Lead and mentor a team of data scientists focused on developing and deploying ML solutions including GNNs, LLM-based applications, and fraud detection models. - Define and drive the roadmap for AI/ML initiatives across Crunchyroll's product and platform ecosystem. - Guide the development of robust ML pipelines and infrastructure, working closely with data engineering, software engineering, and DevOps teams. - Establish best practices for experimentation, model evaluation, A/B testing, and continuous learning in production environments. - Work with stakeholders across business, marketing, security, and content teams to identify AI opportunities and translate them into actionable projects. - Ensure responsible AI/ML development by emphasizing model interpretability, performance, and fairness. - Own operational metrics around model impact, latency, cost, and system scalability. - Foster a
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