Senior Machine Learning Engineer, Recommendation And Personalization

Crunchyroll

Los Angeles, California, United States
Salary + performance bonus earning potential; flex...
On-site
8+ years applied machine learning experience
Python tensorflow pytorch scikit-learn expertise
End-to-end ml pipeline development
You will lead the research, development, and test of advanced models to deliver tailored experiences for over 100 million anime fans across multiple domains

Job Summary

  • You will lead the research, development, and test of advanced models to deliver tailored experiences for over 100 million anime fans across multiple domains.
  • This position requires collaborating closely with scientists, engineers, and product owners to prototype innovative algorithms that drive user engagement and retention.
  • The role offers a hybrid schedule working three days a week in Los Angeles or San Francisco with a comprehensive benefits package including performance bonuses and flexible time off.

Matching Summary

You will lead the research, development, and test of advanced models to deliver tailored experiences for over 100 million anime fans across multiple domains.

Salary

Salary plus performance bonus earning potential; Flexible time off policies; Medical, dental, vision, life insurance, HSA, FSA, 401(k) match

Skills & Requirements

Must-have

  • 8+ years applied machine learning experience
  • Python TensorFlow PyTorch Scikit-learn expertise
  • End-to-end ML pipeline development
  • Recommendation system architecture design
  • Cloud infrastructure AWS SageMaker Databricks
  • A/B testing and experimentation frameworks
  • Model optimization for latency and scalability

Nice-to-have

  • Publications in recommendation systems
  • Experience with generative AI models
  • Background in media or e-commerce platforms
  • Strong cross-functional collaboration skills
  • Bias detection and automated retraining knowledge

Key Requirements

  • 8+ years hands-on experience in applied machine learning
  • Graduate degree (MS or PhD) in Computer Science or related field
  • Proven track record building recommendation systems in media or entertainment

Work Rights

Not specified

Tailored Resume

Cover Letter