Manager, Machine Learning and Data Science
Crunchyroll - Hyderabad, Telangana, India
Posted Apr 10, 2026
Benefits
- Parental leave
- Not verified
- 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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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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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
Manager, Machine Learning and Data Science 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 We are looking for a Manager, Machine Learning and Data Science in the Hyderabad Area to lead and scale a team applying advanced Data Science and Machine Learning to a global digital entertainment platform. Our ecosystem spans paid VOD streaming , online Manga reading , Merchandising , Gaming , and Music Video experiences , all centered on deep user engagement and premium content consumption regarding the anime fandom. In this role, you will manage a team of Machine Learning and AI Engineers, and Data Scientists focused on understanding content, user behavior, and product engagement , and turning those insights into actionable business insights and product features that offer personalized user experiences . You will partner closely with the Director of Data Science & Machine Learning (DSML) to scale both the team and the technical capabilities needed to support a growing, multi-product platform. This role is ideal for a leader who combines strong technical judgment with people leadership, and who can guide
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