Lead Principal Data Scientist, Recommender Systems

Warner Bros. Discovery; San Francisco (CA); On-site; USD 190,000 - 260,000; Full time

Job summary

Warner Bros. Discovery in San Francisco invites applications for Principal Research Scientist (Recommender Systems).

The role leads ML/AI projects to advance personalization and search for HBO Max, mentoring ML/DS researchers and engineers. You will collaborate with product, engineering, content, marketing, and research teams to identify ML opportunities, design scalable systems, and deliver impactful solutions.

Qualifications

• Masters or PhD in a quantitative field preferred.
• 8+ years of ML/AI experience with a track record.
• Strong background in personalization and recommender systems.
• Experience with large-scale data processing and cloud ML platforms.
• Ability to communicate complex results to non-technical stakeholders.

Responsibilities

• Lead large ML/AI projects and mentor team members.
• Develop and deploy scalable recommender systems.
• Collaborate with cross-functional stakeholders to identify ML opportunities.
• Present modeling results to senior leadership.

Skills

Recommender systems

Personalization

Information retrieval

Machine learning

Deep learning

NLP

Reinforcement learning

Causal inference

Big data

Python

TensorFlow

PyTorch

Education

Master's in Computer Science, Mathematics, Physics, Engineering, Statistics, or OR Operations Research (PhD preferred)

Tools

SQL

AWS

Snowflake

Spark

Google Cloud

Job description

Warner Bros. Discovery in San Francisco invites applications for Principal Research Scientist (Recommender Systems).

The role leads ML/AI projects to advance personalization and search for HBO Max, mentoring ML/DS researchers and engineers. You will collaborate with product, engineering, content, marketing, and research teams to identify ML opportunities, design scalable systems, and deliver impactful solutions.