Senior Machine Learning Engineer, Crunchyroll
Recommendations
$197.3-246.7k
+ Performance bonus
More information about location
2 days a week in office
Streaming service for anime and manga
Open for applications
Streaming service for anime and manga
1001+ employees
Open for applications
$197.3-246.7k
+ Performance bonus
More information about location
2 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
- 5+ years of experience in designing and implementing large-scale recommendation systems
- You have a background in machine learning and recommendation system algorithms
- Proficiency in Python
- You have experience with frameworks like TensorFlow, PyTorch, or similar
- You have familiarity with GPU optimization and cloud computing platforms (AWS, Google Cloud, Azure)
- You have demonstrated ability to work with cross-functional teams including Engineering, Product, Content Acquisition and Programming, Consumer Insights, to name a few
- You have experience conveying complex technical concepts to non-technical stakeholders
What the job involves
- In the role of Senior Machine Learning Engineer, you will report to the Director of data science and machine learning in the Center for Data and Insights
- We are looking for a Senior Machine Learning Engineer to join our team to create personalized content recommendations for our tens of millions of customers around the world
- The main mission is to help customers discover contents they will love, from our must-watch simulcast season of shows to our library of classics and niche titles, and further beyond into theatrical release, merchandise, music, and games, etc that covers the anime fandom and lifestyle
- Your work will have a meaningful effect, enhancing user engagement and satisfaction by tailoring the content experience to individual tastes and preferences
- This role offers a greenfield opportunity to develop the latest recommendation algorithms to delight a fast-growing global audience
- System Architecture: Design and develop scalable, robust architectures for the recommendation system
- Data Sense and Awareness: Identify, collect, and preprocess data from various sources to build comprehensive user profiles and content attributes
- Model Training and Operations: Experiment, train, and deploy machine learning models that power personalized recommendations
- Measurement and Feedback Loop: Implement systems to measure the effectiveness of recommendations and incorporate user feedback to improve model performance
- Operational Excellence: Ensure the reliability, efficiency, and scalability of the recommendation system through best practices in coding, testing, and deployment
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
Few candidates hear
back within 2 weeks
42% female employees
9% employee growth in 12 months
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 values
- Courage: When we overcome fear, we enable our best selves
- Curiosity: We are curious, which is the gateway to empathy, inclusion, and understanding
- Service: We serve our community with humility, enabling joy and belonging for others
- Kaizen: We have a growth mindset committed to constant forward progress
Company HQ
Lucerne - Higuera, Culver City, CA
Articles
Leadership
Kun Gao
(Co-Founder)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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