Manager, Machine Learning and Data Science

Job Description

Role Overview:As a Manager, Machine Learning and Data Science at Crunchyroll, you will lead and scale a team applying advanced Data Science and Machine Learning to a global digital entertainment platform. Your role will involve managing a team of Machine Learning and AI Engineers, and Data Scientists focused on understanding content, user behavior, and product engagement to provide 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 position requires a leader with strong technical judgment and people leadership skills to guide teams from exploratory analysis to production-ready ML systems that directly impact customer experience and business outcomes.Key Responsibilities:- 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.Qualifications Required:- 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 stakeholdersAdditional Company Details:You will join a fast-growing team of Data Scientists, Machine Learning Engineers, and AI Engineers at Crunchyroll, who are passionate about leveraging data and AI to create transformative solutions. The team focuses on delivering 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. Collaboration, creativity, and a commitment to excellence define the teams culture as they work together to push the boundaries of whats possible in streaming and data-driven decision-making. Role Overview:As a Manager, Machine Learning and Data Science at Crunchyroll, you will lead and scale a team applying advanced Data Science and Machine Learning to a global digital entertainment platform. Your role will involve managing a team of Machine Learning and AI Engineers, and Data Scientists focused on understanding content, user behavior, and product engagement to provide 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 position requires a leader with strong technical judgment and people leadership skills to guide teams from exploratory analysis to production-ready ML systems that directly impact customer experience and business outcomes.Key Responsibilities:- 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.Qualifications Required:- 5 years of experience in

Keyskills :
Data ScienceMachine LearningAnalyticsContent analysisPersonalizationML systemsUser behavior analysisProduct engagementRecommendationsEngagement optimizationML platforms