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Senior Research Developer, Recommendations

2 months ago


Culver City, California, United States Crunchyroll Full time
About Crunchyroll

We're a passionate community-driven company that delivers the art and culture of anime to fans worldwide.

Our mission is to help everyone belong, and we're committed to diversity and inclusion in all aspects of our business.

Job Summary

We're seeking a Senior Research Developer to join our team and create personalized content recommendations for our tens of millions of customers.

As a key member of our Center for Data and Insights, you'll report to the director of data science and machine learning and work closely with cross-functional teams to develop scalable, robust architectures for our recommendation system.

Key Responsibilities
  1. Design and develop large-scale recommendation systems using machine learning algorithms and frameworks like TensorFlow and PyTorch.
  2. Experiment, train, and deploy machine learning models that power personalized recommendations.
  3. Implement systems to measure the effectiveness of recommendations and incorporate user feedback to improve model performance.
  4. Ensure the reliability, efficiency, and scalability of the recommendation system through best practices in coding, testing, and deployment.
About You

We're looking for a highly skilled and experienced professional with a background in machine learning and recommendation system algorithms.

You should have a strong understanding of Python, proficiency in frameworks like TensorFlow and PyTorch, and experience with GPU optimization and cloud computing platforms.

As a collaborative team player, you'll work closely with engineers, product managers, and other stakeholders to drive innovation and growth across our product offerings.

Why Crunchyroll?

We offer a great compensation package, flexible time off policies, and a range of benefits and perks, including a 401(k) plan, health insurance, and a commuter benefit.

Our team is passionate about leveraging advanced machine learning techniques to transform how users interact with and enjoy our content offerings.

We're committed to creating a workplace that's inclusive, diverse, and empowering, where everyone can thrive and grow.