Senior Machine Learning Engineer

We’re seeking a Staff Data Scientist 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 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… The most important! Our guiding principles are the core values by which we operate and are central to how we get things done. They can be found at and are discussed 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. Compensation & Benefits In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Pay Range: $165,200.00 – $306,800.00 salary per year. Other rewards may include annual bonuses, short‑ and long‑term incentives, and program‑specific awards. 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. #J-18808-Ljbffr Warner Media, LLC.