Senior Machine Learning Engineer- Computer Vision job opportunity at Warner Bros. Discovery.

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Warner Bros. Discovery Senior Machine Learning Engineer- Computer Vision
Experience: 5-years
Pattern: full-time
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loacation NY New York 30 Hudson Yards, United States Of America
loacation NY New York 30..........United States Of America

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. Machine Learning Engineer – Services (Video AI Platform)     Who We Are…   At Warner Bros. Discovery, we are reimagining how machine learning transforms storytelling. As part of the AI/ML organization, focusing on supporting applications of AI to video , the M achine Learning Engineer – Services group powers infrastructure and backend service s behind production workflows . We're 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.     Roles & Responsibilities   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     What to Bring   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, TorchServe , Ray Serve)   Proficient in managing cost-effective distributed computing environments (e.g., Kubernetes, Ray, SageMaker)   Familiar with experiment tracking tools (e.g., MLflow , Weights & Biases) and model versioning strategies   Deep understanding of ML domains including NLP, RecSys , 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     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 www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. 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: $132,300.00 - $245,700.00 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.

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