Manager, Machine Learning and Data Science

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 teams from exploratory analysis to production-ready ML systems that directly impact customer experience and business outcomes.

Core Areas of Responsibility

• Lead, mentor, and develop a team of Machine Learning Engineers and Data Scientists, fostering a culture of technical excellence and accountability.
• Drive delivery of ML and analytics initiatives that enhance content discovery, personalization, user engagement, and cross-platform experiences.
• Provide technical oversight on modeling approaches, experimentation, and production readiness to ensure scalable and reliable solutions.
• Translate business objectives into clear ML roadmaps in partnership with Product, Engineering, and business stakeholders.
• Ensure insights and model outputs are effectively communicated to inform strategic and operational decisions.
• Establish and standardize best practices across experimentation, evaluation, deployment, and monitoring of ML systems.
• Identify opportunities to leverage data and ML across streaming, manga, gaming, merchandising, and music verticals.
• Partner with the Director of DSML to scale team capabilities, processes, and long-term technical strategy.

About You

Required Qualifications

• 5+ years of experience in Data Science, Machine Learning, or Applied Analytics
• 2+ years of experience leading or managing technical teams
• Strong understanding of ML systems applied to user behavior, content, or product analytics
• Experience delivering ML solutions that inform business decisions and/or power user-facing features
• Ability to guide technical design and evaluate trade-offs without being hands-on day-to-day
• Strong communication skills and comfort working with product and business stakeholders

Preferred Qualifications

• Experience in subscription-based digital products, media, streaming, gaming, or e-commerce
• Experience with personalization, recommendations, or engagement optimization
• Familiarity with ML platforms, data pipelines, and production ML workflows at scale
• Experience operating in a multi-product or platform environment and cross-timezone collaborations.

What Success Looks Like

• The team consistently delivers ML-driven insights and experiences that improve user engagement and satisfaction
• Personalized content and service offerings become more effective, measurable, and scalable

About the Team

You will join a fast growing team of Data Scientists, Machine Learning Engineers, and AI Engineers, united by a passion for leveraging data and AI to create transformative solutions. Our team delivers both consumer-facing product features that enhance the streaming experience for millions of users and stakeholder-oriented solutions that empower internal teams with actionable insights. From building personalized recommendation systems to developing innovative tools like our stakeholder-facing chatbot, we combine cutting-edge machine learning, robust data pipelines, and advanced AI to drive impact across the organization. Collaboration, creativity, and a commitment to excellence define our team’s culture as we work together to push the boundaries of what’s possible in streaming and data-driven decision-making.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Best-in class medical, dental, and vision private insurance healthcare coverage
• Access to counseling & mental health sessions 24/7 through our Employee Assistance Program (EAP)
• Free premium access to Crunchyroll
• Professional Development
• Company’s Paid Parental Leave
• up to 26 weeks for birthing parents
• up to 12 weeks for non-birthing parents
• Hybrid Work Schedule
• Paid Time Off
• Flex Time Off
• 5 Yasumi Days
• Half-Day Fridays during the summer
• Winter Break

#LifeAtCrunchyroll ((select from the following job modalities for this role: #LI-Hybrid #LI-remote #LI-onsite))