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About the Role

Lead large and complex technical projects by developing innovative machine learning algorithms and directing the work of Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers. Build scalable ML solutions for HBO Max, focusing on advancing personalization and recommender systems and search to drive user experience and growth. Partner with product, engineering, content, marketing, and research stakeholders to identify ML opportunities, accelerate AI innovation, and ensure delivery of impactful solutions.

Responsibilities

Develop innovative data science solutions utilizing machine learning, deep learning, statistical, and quantitative modeling approaches.
Mentor the team in the latest machine learning approaches and introduce new technologies and processes.
Partner with ML engineering leadership to design and develop scalable machine learning systems.
Identify data science opportunities that deliver business value.
Formulate key areas of the ML/AI roadmap and educate stakeholders to drive implementation and measurement.
Provide thought leadership for ML/AI applications.
Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
Prepare and present ML modeling results and analytical insights to senior leadership.

Requirements

Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (PhD preferred).
8+ years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts.
Strong experience in Recommender systems, personalization systems, collaborative filtering and information retrieval systems.
Strong machine learning, deep learning, and statistical modeling expertise (e.g., causal inference modeling, ensembles, neural networks, NLP, reinforcement learning, bandits).
Familiarity and experience with modern large language model based techniques for recommender systems and personalization.
Advanced knowledge of SQL and experience with big data platforms (AWS, Snowflake, Spark, Google Cloud etc.).
Proficiency in machine learning and deep learning languages and platforms (Python, TensorFlow, Keras, PyTorch etc.).
Experience in deploying machine learning algorithms and advanced modeling solutions.
Proven ability to deliver results in a fast-paced, high-energy environment.
Strong communication skills and ability to explain complex analysis and algorithms to non-technical audiences.
Works effectively with cross-functional teams to build trusted partnerships.
Working experience in the digital media and entertainment industry preferred.

Skills

Machine Learning
Artificial Intelligence
Recommender Systems
Personalization Systems
Collaborative Filtering
Information Retrieval
Deep Learning
Statistical Modeling
Causal Inference Modeling
Ensembles
Neural Networks
NLP
Reinforcement Learning
Bandits
Large Language Models
SQL
Big Data Platforms (AWS, Snowflake, Spark, Google Cloud)
Python
TensorFlow
Keras
PyTorch

Experience Level

8+ years of work experience in Machine Learning, AI and Data Science

Education Level

Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields
PhD preferred

Salary/Compensations

$227,850.00 - $423,150.00 salary per year

Benefits

Thoughtfully curated benefits
Health insurance coverage
Employee wellness program
Life and disability insurance
Retirement savings plan
Paid holidays
Sick time
Vacation

About the Company

Warner Bros. Discovery (WBD) has a vast portfolio of iconic content and beloved brands.
WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow.
At WBD, employees are supported, celebrated, and can thrive.

Equal Opportunity

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences.
Consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required.
If you’re a qualified candidate with an arrest or conviction record, your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.