Senior Research Developer, Recommendations

Crunchyroll delivers anime content to a passionate community of over 100 million fans across 200+ countries and territories.
$149,552 - $186,941
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience

Description For Senior Research Developer, Recommendations

Crunchyroll, a fan-founded company, is seeking a Senior Research Developer (Machine Learning Engineer) to join their Center for Data and Insights team. This role focuses on creating personalized content recommendations for tens of millions of customers worldwide, enhancing user engagement and satisfaction. The position offers a greenfield opportunity to develop cutting-edge recommendation algorithms for a rapidly growing global audience.

Key responsibilities include:

  1. Designing scalable architectures for the recommendation system
  2. Identifying and preprocessing data to build comprehensive user profiles and content attributes
  3. Experimenting with, training, and deploying machine learning models
  4. Implementing systems to measure recommendation effectiveness and incorporate user feedback
  5. Ensuring reliability, efficiency, and scalability of the recommendation system

The ideal candidate should have:

  • 5+ years of experience in designing and implementing large-scale recommendation systems
  • Strong background in machine learning and recommendation system algorithms
  • Proficiency in Python
  • Experience with frameworks like TensorFlow or PyTorch
  • Familiarity with GPU optimization and cloud computing platforms
  • Ability to work with cross-functional teams and communicate complex technical concepts

Crunchyroll offers a competitive compensation package, flexible time off, comprehensive health benefits, 401(k) with employer match, and various other perks. The company values courage, curiosity, service, and continuous improvement (Kaizen). They are committed to diversity and inclusion, operating as an equal opportunity employer.

This role is based in Culver City, California, with a hybrid work schedule (two days in office per week, specifically Tuesday/Thursday).

Last updated 7 months ago

Responsibilities For Senior Research Developer, Recommendations

  • Design and develop scalable, robust architectures for the recommendation system
  • Identify, collect, and preprocess data from various sources
  • Experiment, train, and deploy machine learning models for personalized recommendations
  • Implement systems to measure recommendation effectiveness and incorporate user feedback
  • Ensure reliability, efficiency, and scalability of the recommendation system

Requirements For Senior Research Developer, Recommendations

Python
  • 5+ years of experience in designing and implementing large-scale recommendation systems
  • Background in machine learning and recommendation system algorithms
  • Proficiency in Python
  • Experience with frameworks like TensorFlow, PyTorch, or similar
  • Familiarity with GPU optimization and cloud computing platforms (AWS, Google Cloud, Azure)
  • Ability to work with cross-functional teams
  • Experience conveying complex technical concepts to non-technical stakeholders

Benefits For Senior Research Developer, Recommendations

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Flexible time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k
  • Health Saving Account (HSA)
  • Health care and dependent care FSA
  • Employer paid commuter benefit
  • Support program for new parents

Interested in this job?

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