Staff Software Engineer

Job Description

About You
We're looking for a Staff Software Engineer for our MLOps Platform to join the AI/ML organization, focusing on supporting applications of AI to video . In this role, you will help build a robust, scalable platform that enables the training, deployment, and observability of machine learning models for video understanding and classifications . You will drive platform architecture, lead critical components, and work across teams to establish engineering excellence in the ML infrastructure layer.

Roles & Responsibilities
• Design and lead the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles
• Build APIs and microservices that power end-to-end machine learning workflows, including model deployment, orchestration, and observability
• Collaborate with content protection and security teams to ensure robust access controls and compliance
• Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code ( IaC ) principles
• Champion engineering excellence through well-tested code, clear documentation, and continuous improvement of development and deployment practices.
• Establish and enforce best practices in testing, code quality, and monitoring for ML pipeline components
• Work closely with Video AI engineers and product managers to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichment
What to Bring
• 7+ years of software engineering experience building scalable backend systems
• Deep experience with cloud platforms (AWS, GCP); ability to design for cloud-agnostic deployment
• Experience working with production deployment of machine learning systems
• Proficiency in Python and Go, with strong software design and architecture skills
• Proven experience implementing and managing CI/CD workflows and IaC with tools like Terraform or CloudFormation
• Familiarity with Agile development practices and a strong operational mindset
• Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, OpenTelemetry )
• Strong understanding of media processing and video engineering concepts including transcoding, segmentation, and frame manipulation , using libraries such as FFMPEG, OpenCV, and Demux
• Experience collaborating in a cross-functional team and setting engineering standards at scale

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: $145,600.00 - $270,400.00 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.

Jobcode: Reference SBJ-866666-216-73-216-150-42 in your application.