- Salary
- $159k – $296k
- Location
- NY New York 230 Park Avenue South, United States of America
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- PhD
- Source
- Workday
Description
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.
At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!
About the Role
We're seeking a Senior Machine Learning Engineer to develop and deploy machine learning solutions for consumer growth, including fraud detection, pricing optimization, and user behavior modeling. You'll combine strong technical skills with a passion for learning to build scalable ML systems that drive business impact.
This role requires a blend of strong research skills, mathematical rigor, and production-grade engineering practices. You will also act as a mentor to junior scientists, collaborate cross-functionally with product, engineering, and business stakeholders, and advance the company’s research agenda through thought leadership and, when possible, publications in top-tier venues.
Key Responsibilities
End-to-End Delivery: Build complete ML pipelines from data processing to model deployment and monitoring in production environments
ML Development: Design and implement machine learning models for growth applications, from classical algorithms to deep learning approaches
Cross-Functional Collaboration: Work closely with product, engineering, and senior researchers to translate requirements into effective ML solutions
Mentorship: Guide junior data scientists and contribute to team knowledge sharing
Research & Innovation: Stay current with ML research and explore new methodologies relevant to consumer growth challenges
Required Qualifications
Education: PhD/MS in Machine Learning, Data Science, or closely related field
Experience: 3+ years (PhD) or 5+ years (MS) of hands-on machine learning experience
Technical Skills:
Proficient in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost)
Experience with SQL and large-scale data processing
Proven track record deploying ML models to production
Mindset: Strong desire to learn new techniques and adapt to evolving business needs
Communication: Ability to clearly articulate ML concepts to diverse stakeholders
Preferred Qualifications
Experience in consumer-facing applications (growth, fraud, personalization)
Familiarity with distributed computing systems (Spark, Ray)
Publications in ML conferences or contributions to open-source projects
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: $159,180.00 - $295,620.00 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.
