Director, Machine Learning Engineering

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

What We Do

At Max, the Growth Engineering team comprises ML engineers, data scientists, and software engineers. Our goal is to increase ARPU and increase the number of subscribers. We work on data pipelines and machine learning to enhance customer happiness by quickly creating experiments that are enjoyable and that improve our main monetization and retention metrics. Monetization via ads is our primary goal, and we are relentlessly improving how we link and resolve identity across multiple linear and digital properties.

What You’ll Do

• Develop and communicate a robust technical vision and strategy for identity resolution, matching & linking, and lookalike modeling for ad sales, marketing, and product

• Define and track key performance indicators to measure product and technical success for Identity Resolution and Customer 360
• Work cross-functionally with product management, engineering, and business stakeholders

• Research and build high-impact end-to-end machine learning systems

• Coordinate the work of data scientists and machine learning engineers providing research guidance and mentorship
• Promote and role-model best practices of data science, engineering, and communication throughout the organization
• Mentor engineers and data scientists across the org
• Navigate existing ML and AI research on Identity and apply it to solve business problems
• Contribute back to research community by writing/publishing blogs, articles or papers in conferences

What You’ll Need

• M.S or B.S.in a Computer Science/Statistics/Data Science or related field
• 10+ years of building ML products with for both consumer and enterprise applications, preferably within identity resolution and/or AdTech
• 4+ years of managing high-performing teams
• Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities
• Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to business audiences
• Self-motivated, growth-oriented, and driven to pursue excellence across teams
• Technical knowledge of Data Clean Rooms, AdTech, and data licensing vendors, such as Experian, TransUnion, LiveRamp, Merkle
• Deep understanding of statistics and ML and AI fundamentals
• Deep knowledge in multiple ML methodologies, such as XGBoost, Probabilistic Graphical Models, Foundation Models, Multi-Armed Bandits, Reinforcement Learning
• Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, JAX, Scikit-learn etc.
• Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to 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. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $234,500.00 - $435,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.