Senior Machine Learning Engineer- Computer Vision

Overview

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

Who We Are…

At Warner Bros. Discovery, we are reimagining how machine learning transforms storytelling. This role is part of the AI/ML organization, focusing on supporting applications of AI to video. The Machine Learning Engineer – Services group powers infrastructure and backend services behind production workflows. We are looking for an experienced ML Engineer with strong fundamentals and infrastructure experience to help build reusable components and services for video understanding, video summary, and video classifications.

You will be part of a team focused on re-training, model hosting, cost optimization, and managing production workflows at scale.

• Build and maintain pipelines for model fine-tuning and retraining, including LoRA-based workflows and Large Language Models
• Integrate and maintain vector search services and semantic similarity infrastructure
• Design scalable model serving solutions for open-source and foundation models
• Develop systems for experiment tracking, model versioning, and evaluation
• Monitor production models for drift and performance degradation
• Manage compute cost and resource optimization across distributed training jobs
• Integrate Human-in-the-Loop (HITL) workflows and offline labeling into training pipelines
• Support model deployment for varied model architectures, including Vision-Language Models, Convolutional Neural Nets, and Embedding Generation models
• Stand up and maintain Feature Store and data versioning infrastructure
• Architect and implement RAG pipelines for video metadata, summarization, and Q&A
• Build evaluation frameworks to assess LLM performance, hallucination frequency, and structured response accuracy

• 5+ years of experience in machine learning engineering, with end-to-end ML workflow expertise
• Strong background in model retraining, fine-tuning, and evaluation techniques
• Experience deploying and managing open-source model servers (e.g., Triton, Torch Serve, Ray Serve)
• Proficient in managing cost-effective distributed computing environments (e.g., Kubernetes, Ray, Sage Maker)
• Familiar with experiment tracking tools (e.g., MLflow, Weights & Biases) and model versioning strategies
• Deep understanding of ML domains including NLP, Recommender Systems, and reinforcement learning
• Experience with real-time inference systems and streaming data pipelines is a plus
• Familiarity with labeling tools, HITL workflows, and offline data curation strategies
• Comfort working in Agile development environments and collaborating across global teams

This last bit is the most important. Here at WBD, our guiding principles are the core values by which we operate. You can find them at  along with insights from the team.

Warner Bros. Discovery embraces building a workforce that reflects a wide array of perspectives, backgrounds and experiences. We are an equal opportunity employer. We 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 require adjustments or accommodations during the job application process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing compensation. Base pay is a component of Warner Bros. Discovery’s total compensation package. Pay Range: $ - $ per year. Other rewards may include annual bonuses and program-specific awards. We provide a variety of benefits including health insurance, wellness, retirement savings, paid holidays, and paid time off. For individuals with arrest or conviction records, we consider applications in accordance with applicable laws.