Software Engineer, Machine Learning
Listed on 2026-02-17
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing
Overview
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.
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 Cloud Formation
Familiarity with Agile development practices and a strong operational mindset
Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, Open Telemetry )
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
Additional Information
On December 5, Netflix and Warner Bros. Discovery announced they have entered into a definitive agreement under which Netflix will acquire Warner Bros., including its film and television studios, HBO Max and HBO. The transaction is expected to close after the separation of Warner Bros. Discovery's Global Networks division, Discovery Global, into a new publicly-traded company, which is expected to be completed in Q3 2026.
For more details, including leadership appointments and information on individual brands, please visit our newsroom here.
Although you will be hired by Warner Bros. Discovery, upon the planned spin-off of Discovery Global in 2026, your employment likely will transition to Warner Bros. During this period of transformation, you’ll have an exciting opportunity to lay the foundation at one of the world’s premier entertainment brands.
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 along…
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