Senior Machine Learning Engineer

Warner Bros. Discovery

New York City, USonsite$159k-$296k/yrPosted Jul 15, 2026
Posting intelligenceActively listed

Skills

scikitlearntensorflowpytorchpythonsparkml

About the role

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

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.

Compensation

This Machine Learning Engineer role pays $159k-$296k/yr. Within typical range for machine learning engineer roles in United States.

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