Staff Software Engineer - Python, Computer Vision

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Staff Software Engineer – Video AI Team, Bangalore

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery’s leading non-fiction and international entertainment and sports businesses.

For more information, please visit www.wbd.com.

Meet Our Team:

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons, and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands are the storytellers bringing our characters to life, the creators bringing them to your living rooms, and the dreamers creating what’s next…

From brilliant creatives to technology trailblazers, across the globe, WBD offers career-defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Roles & Responsibilities:

We’re looking for a Staff Software Engineer for our Video AI Team in Bangalore to join the AI/ML organization, focusing on applications of AI to video. The team supports capabilities such as scene segmentation, video annotation, clip generation, metadata enrichment, video understanding, closed captions, translations, subtitles and content classification to help 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. You will drive platform architecture, lead critical components, and work across teams to establish engineering excellence in the ML infrastructure layer.

• 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, model registry integration, and observability.
• Architect and deploy AI/ML pipelines for video ingestion, preprocessing, annotation, training, evaluation, serving, monitoring, and continuous improvement.
• Develop cloud-native AI systems on Google Cloud Platform using Vertex AI, Vertex AI Pipelines, Vertex AI Endpoints, GKE, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and related services.
• Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code principles, with hands-on implementation using Terraform, Kubernetes, Docker, and deployment automation tools.
• Evaluate, fine-tune, train, optimize, and deploy open-source Computer Vision and Multimodal AI models and Vision Transformers for production use cases.
• Design and operationalize Deep Learning, Computer Vision, Generative AI, LLM, VLM, and RAG-based capabilities for video understanding and content intelligence workflows.
• Collaborate with content protection and security teams to ensure robust access controls, secure model/data access patterns, and compliance-aligned platform practices.
• Champion engineering excellence through well-tested code, clear documentation, design reviews, code reviews, and continuous improvement of development and deployment practices.
• Establish and enforce best practices in testing, code quality, monitoring, observability, incident readiness, and reliability for ML pipeline components.
• Work closely with AI engineers, data scientists, product managers, and platform teams to support evolving use cases such as…