Staff Machine Learning Engineer, Platform & Production

We are looking for a passionate Staff Machine Learning Engineer to bridge the gap between cutting-edge ML algorithm development and production grade, scalable softwa re engineering for our search and personalization systems.

In this role, you will be the technical leader of our engineering rigor, design the core architecture, establish engineer ing best practices, creat e scalable MLOps pipelines, and design a codebase that allows the team to iterate, deploy, and quickly experiment in production. You will act as a force multiplier, elevating the software engineering capabilities of the entire ML team.

- Recommendation & Search model training a rchitecture: Architect, build, and scale recommendation systems powering personalization and search experiences across our streaming platforms.

- Codebase Architecture : Design modular, scalable ML repositories built for rapid iteration, fast deployment, and production experimentation.

- Engineering Excellence : Establish coding standards, testing frameworks, code review workflows, and CI/CD pipelines using open-source cloud technologies for ML and DS workstreams .

- Production Velocity : Build infrastructure abstractions and components that allow seamless transition from model training to large-scale serving.

- Cross-Functional Delivery: Collaborate with other ML engineers , data scientists and product managers, to drive complex ML projects from conception to completion.

- Strategic Planning : Partner with product and engineering leadership to define, plan, and deliver against long-term strategic goals.

- Culture & Mentorship: Mentor and influence engineers across organizations by demonstrating high-quality work, advocating for the customer, and fostering an innovative, engineering -driven culture.

- 8+ years of industry experience, with 4+ years as tech lead experience (preferred)

- D eep practical knowledge in designing scalable, production-grade Search or Recommendation systems architecture

- Knowledge of large-scale distributed systems, architecture, APIs, and databases.

- Solid practical understanding in modern machine learning lifecycle , common pain-points, and research and production environments .

- Staff level experience building production systems with expertise in Python/Java , containerization , and cloud platforms.

- Hands-on experience with MLOps tools and frameworks ( MLflow , Kubeflow, Sagemaker , etc ) , or building internal systems.

- Familiarity with m achine learning algorithms ( in particular for recommender systems) is a strong plus

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: $187,670.00 - $348,530.00 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.

If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.