Lead Research Scientist, Recommender Systems

Warner Bros. Discovery; Burbank (CA); On-site; USD 228,000 - 423,000; Full time

Benefits offered by this job

Health insurance

Employee wellness program

Retirement savings plan

Job summary

Warner Bros. Discovery is seeking a Principal Research Scientist (Recommender Systems) in California to lead complex ML projects, advance personalization, and mentor ML/AI researchers and engineers toward scalable solutions for HBO Max.

Collaborate with product, engineering, and research stakeholders to identify ML opportunities and accelerate AI innovation. The role focuses on enhancing personalization, discovery, and search to improve user experience and growth across WBD properties, with

Qualifications

• Advanced machine learning and data science skills with proven impact.
• Strong experience in recommender/personalization systems and information retrieval.
• Hands-on leadership of ML/AI projects and teams.

Responsibilities

• Develop data science solutions using ML/deep learning to support product, engineering and marketing.
• Mentor team on ML approaches and introduce new technologies and processes.
• Design scalable ML systems with ML engineering leadership for faster learning cycles.
• Identify data science opportunities delivering measurable business value.
• Formulate ML/AI roadmap areas and educate stakeholders on implementation and evaluation.
• Provide thought leadership to enable ML/AI applications.

Skills

ML & AI leadership

Recommender systems

SQL & Big data

Python & ML frameworks

Education

Master's in CS/Math/Physics/Engineering/Statistics

PhD preferred

Tools

TensorFlow

Keras

PyTorch

Job description

Warner Bros. Discovery is seeking a Principal Research Scientist (Recommender Systems) in California to lead complex ML projects, advance personalization, and mentor ML/AI researchers and engineers toward scalable solutions for HBO Max.

Collaborate with product, engineering, and research stakeholders to identify ML opportunities and accelerate AI innovation. The role focuses on enhancing personalization, discovery, and search to improve user experience and growth across WBD properties, with