Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll, LLC | USA | Rezi

Senior Machine Learning Engineer, Recommendation and Personalization at Crunchyroll, LLC

Senior Machine Learning Engineer, Recommendation and Personalization

Crunchyroll, LLC · USA

Today

Senior Machine Learning Engineer, Recommendation and Personalization

Crunchyroll, LLC · USA

12 hours ago
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About the Role

Lead the research, development, and testing of advanced machine learning models for recommendation and personalization systems. Collaborate with product and engineering partners to deliver tailored experiences for fans across video recommendations, digital manga, merchandise, and gaming.

Responsibilities

  • Research, design, and implement machine learning algorithms for recommendation systems.
  • Co-develop end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
  • Optimize models for accuracy, latency, and scalability.
  • Integrate personalization solutions with other services and implement monitoring for model performance.
  • Collaborate on A/B testing, experimentation, and iterative improvements.

Requirements

  • 8+ years of hands-on experience in applied machine learning.
  • Proven track record in building recommendation systems or personalization engines.
  • Expert in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks, or similar.
  • Experience with big data tools (e.g., Spark) and cloud infrastructure (e.g., AWS/GCP).
  • Experienced in partnering with data scientists, engineers, and product teams.
  • Strong ability to document research findings and explain algorithmic choices.
  • Ability to present results to diverse stakeholders.

Skills

  • Machine Learning
  • Recommendation Systems
  • Personalization Engines
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • MLOps
  • MLflow
  • Docker
  • AWS SageMaker
  • Databricks
  • Spark
  • AWS
  • GCP
  • A/B Testing
  • Experimentation

Location

  • Los Angeles, CA
  • San Francisco, CA

Work Type

  • Hybrid

Experience Level

  • Senior
  • 8+ years

Education Level

  • Graduate degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field
  • Publications or contributions in recommendation systems are a plus

Salary/Compensations

  • $185,000—$225,000 USD (Los Angeles, CA)
  • $205,000—$240,000 USD (San Francisco, CA)

Benefits

  • Compensation package including salary plus performance bonus earning potential
  • Flexible time off policies
  • 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
  • Pet friendly offices

About the Company

  • Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community.
  • Super-serve over 100 million anime and manga fans across 200+ countries and territories.
  • 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.

Equal Opportunity

  • 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.