Senior Machine Learning Engineer, Crunchyroll
Fraud Detection
$185-240k
Plus performance bonus earning potential, paid annually
Streaming service for anime and manga
Open for applications
Streaming service for anime and manga
1001+ employees
Open for applications
$185-240k
Plus performance bonus earning potential, paid annually
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 5+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services
- Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP
- Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization
- Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration
- Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus
- Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
- Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field
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, working from Los Angeles or San Francisco area in California
- In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles
- This position is essential for collaborating with data scientists, product analysts, and data engineers, translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth
- Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time
- Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms
- Optimize models for performance, scalability, and efficiency to handle high-volume streaming data
- Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining
- Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics
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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