Senior Research Developer, Recommendations
Culver City, California, United States
Full Time Senior-level / Expert USD 149K - 186K
Crunchyroll Inc.
About Crunchyroll
WE HELP EVERYONE BELONG. IT’S OUR PURPOSE.
Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.
Join our team, and help us shape the future of anime!
About the role
In the role of Senior Research Developer, (internally titles: 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 Research Developer 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.
Core Responsibilities
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System Architecture: Design and develop scalable, robust architectures for the recommendation system.
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Data Sense and Awareness: Identify, collect, and preprocess data from various sources to build comprehensive user profiles and content attributes.
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Model Training and Operations: Experiment, train, and deploy machine learning models that power personalized recommendations.
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Measurement and Feedback Loop: Implement systems to measure the effectiveness of recommendations and incorporate user feedback to improve model performance.
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Operational Excellence: Ensure the reliability, efficiency, and scalability of the recommendation system through best practices in coding, testing, and deployment.
We are considering applicants for the location of Los Angeles, California.
About You
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5+ years of experience in designing and implementing large-scale recommendation systems.
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You have a background in machine learning and recommendation system algorithms
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Proficiency in Python
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You have experience with frameworks like TensorFlow, PyTorch, or similar.
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You have familiarity with GPU optimization and cloud computing platforms (AWS, Google Cloud, Azure).
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You have demonstrated ability to work with cross-functional teams including Engineering, Product, Content Acquisition and Programming, Consumer Insights, to name a few.
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You have experience conveying complex technical concepts to non-technical stakeholders.
About the Team
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.
Why you will love working at Crunchyroll
In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:
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Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
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Flexible time off policies allowing you to take the time you need to be your whole self.
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Generous medical, dental, vision, STD, LTD, and life insurance
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Health Saving Account HSA program
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Health care and dependent care FSA
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401(k) plan, with employer match
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Employer paid commuter benefit
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Support program for new parents
#LifeAtCrunchyroll #LI-Hybrid
The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll’s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks.Pay Transparency - Culver City, CA$149,552—$186,941 USDAbout our Values
We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value
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Courage. We believe that when we overcome fear, we enable our best selves.
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Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding.
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Service. We serve our community with humility, enabling joy and belonging for others.
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Kaizen. We have a growth mindset committed to constant forward progress.
Our commitment to diversity and inclusion
Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.
We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.
Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs
Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.
Tags: Architecture AWS Azure Engineering GCP Google Cloud GPU Machine Learning ML models Model training Python PyTorch Research Streaming TensorFlow Testing
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance Salary bonus Team events
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