About the RoleWe'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
- 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.
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.
