Senior Machine Learning Engineer, Crunchyroll
$205.2-256.6k
Streaming service for anime and manga
Be an early applicant
Streaming service for anime and manga
1001+ employees
Be an early applicant
$205.2-256.6k
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
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
- 8+ years of experience in data science, with a strong focus on machine learning, AI, and production-grade model deployment
- Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Hands-on experience with Graph Neural Networks, GraphRAG, LLMs, Graph and Vector Databases
- Experience with fraud analysis using machine learning, graph analytics, or NLP techniques
- Proficiency in Python, R, or similar programming languages
- Strong knowledge of cloud platforms (AWS preferred) and experience with data-related services (e.g., Databricks, SageMaker, Kinesis, Lambda)
- Ability to optimize AI/ML models for performance, efficiency, and cost-effectiveness
- Strong analytical, problem-solving, and communication skills, with the ability to explain complex ML concepts to cross-functional stakeholders
What the job involves
- Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans
- Research, develop, and deploy Graph Neural Network (GNN) models, GraphRAG pipelines, and LLM-based solutions for real-world applications
- Design and implement models across Crunchyroll domains leveraging machine learning, NLP, and graph-based techniques
- Build and optimize interactive content discovery systems using Vector Databases and embedding-based techniques
- Develop and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring
- Work with AWS cloud services (e.g., SageMaker, Databricks, Lambda, S3, Kinesis) to scale AI/ML workflows
- Optimize models for efficiency, performance, storage, and cost, ensuring they drive measurable business impact (e.g., content discovery, fraud prevention, payments, CDN)
- Collaborate with data engineering and software teams to ensure smooth deployment, monitoring, and scalability of AI/ML models in production
- Communicate technical concepts effectively to both technical and non-technical stakeholders
- The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives
- Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health
- Another major focus area is preserving, and improving customer experience and retention
- We closely work with our stakeholders to ensure AI/ML objectives are clearly defined
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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