Senior Software Engineer - ML Team

Job Description

Roles & Responsibilities
We're looking for a Senior Software Engineer for our MLOps Platform to join the AI/ML organization, focusing on supporting applications of AI to videos. The team is in charge of generating closed captions, translations to generate subtitles and other capabilities that are required to make WBD content truly global. 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.
• Design 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 AI engineers and product managers to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichment
What to Bring
• 5-8 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/Java/Go, with strong software design and architecture skills
• Proven experience implementing and managing CI/CD workflows.
• Familiarity with Agile development practices and a strong operational mindset
• Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, OpenTelemetry)
• Experience collaborating in a cross-functional team and setting engineering standards at scale
What We Offer:
• A Great Place to work.
• Equal opportunity employer
• Fast track growth opportunities

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, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability 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.

Jobcode: Reference SBJ-868npk-216-73-216-170-42 in your application.