Senior Machine Learning Engineer, Crunchyroll
Recommendation and Personalization
$185-240k
Salary is dependent on location
More information about location
3 days a week in office
Streaming service for anime and manga
Be an early applicant
Streaming service for anime and manga
1001+ employees
Be an early applicant
$185-240k
Salary is dependent on location
More information about location
3 days a week in office
1001+ employees
Company mission
To create experiences for anime and manga fans, and to enable them to connect through the content they love.
Role
Who you are
- Experience: You bring 8+ years of hands-on experience in applied machine learning, with a proven track record in building recommendation systems or personalization engines, ideally in media, entertainment, or e-commerce platforms
- Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks, or similar. Experience with big data tools (e.g., Spark) and cloud infrastructure (e.g., AWS/GCP) for handling large-scale datasets
- Cross-Functional Collaborations: Experienced in partnering with data scientists and analysts, engineers, and product teams to deploy models that align with business objectives like increasing user retention and content consumption
- Communication Skills: Strong ability to document research findings, explain algorithmic choices, and present results to diverse stakeholders for effective adoption
- Educational Background: Graduate degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, with publications or contributions in recommendation systems being a plus
What the job involves
- In the role of Senior Machine Learning Engineer for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California
- You will lead the research, development, and test of advanced models, and work together with product and engineering partners to deliver tailored experiences for our fans across the anime ecosystem, including anime video recommendations, digital manga suggestions, merchandise personalization, anime-themed gaming, music, and more
- This position will collaborate closely with scientists, engineers, product owners, to prototype innovative algorithms, evaluate their impact, and integrate them into production systems that drive user engagement, retention, discovery, and satisfaction
- Research, design, and implement machine learning algorithms for recommendation systems, including collaborative filtering, content-based models, and deep learning, and generative recommendation approaches to personalize content discoveries
- Co-develop end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment using scalable cloud platforms with engineers
- Optimize models for accuracy, latency, and scalability to handle massive user interaction data from streaming and multi-platform, multi-domain experiences across the fandom
- Integrate personalization solutions with other services, and implement monitoring for model performance, bias detection, and automated retraining
- Collaborate on A/B testing, experimentation, and iterative improvements to refine recommendations based on user feedback and evolving content trends
- Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics
- As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services
Our take
In recent decades, anime - encompassing Japanese, Korean, and Chinese animation 0 has transitioned from a niche interest to a formidable industry, boasting a global market worth approximately $30B. Despite this growth, distribution has historically posed challenges, with series and films often reaching overseas audiences through disparate channels, if at all. Crunchyroll emerged to address this issue by consolidating the largest collection of anime into a single streaming service.
Sony's acquisition of Crunchyroll in 2021 for $1.75B expanded the platform's reach, integrating Sony's extensive animation library into its offerings. this move also positioned Crunchyroll for heightened competition against streaming giant Netflix, known for its substantial investments in anime production and acquisition. Currently, Crunchyroll maintains an unrivaled library of anime content, boasting over 44,000 episodes that have attracted over 0M paying subscribers.
While Crunchyroll initially offered a free, ad-supported tier to its vast community, it appears poised to phase out this option, transitioning to a subscription-based model for all new series. Despite this shift, the platform has implemented a global reduction in fees to stimulate subscription uptake. The success of this strategy remains to be seen, but past experiences with companies like Hulu suggest that it may drive subscription growth and mitigate piracy
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Mar 2010
$0.8m
EARLY VC
Feb 2008
$4.1m
SERIES A
Total funding: $4.9m
Company benefits
- Receive a great compensation package including salary plus performance bonus earning potential, paid annually
- Flexible time off policies allowing you to take the time you need to be your whole self
- Generous medical, dental, vision, STD, LTD, and life insurance
- Health Saving Account HSA program
- Health care and dependent care FSA
- 401(k) plan, with employer match
- Employer paid commuter benefit
- Support program for new parents
- Pet insurance and some of our offices are pet friendly!
Company HQ
Miracle Mile, Los Angeles, CA
Leadership
Kun Gao
(Co-Founder & CEO)Co-founded Crunchyroll in 2006 and served as CEO/General Manager/Board Member until 2018. Previously the founder and CTO of Frappr.com as well as a Product Engineer at HOT or NOT.
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