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Staff Machine Learning Engineer- Video AI/Computer Vision

Warner Bros.

United States

United States

About

divh2Machine Learning Expert/h2pWelcome to Warner Bros. Discovery the stuff dreams are made of. When we say, the stuff dreams are made of, were not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBDs 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 whats next/ppFrom 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./ph3Roles Responsibilities/h3pArchitect, build and scale computer vision and multimodal capabilities to support video understanding use-cases within WBD/ppWork closely with Principal Engineers on defining technical vision and strategy for the platform, as well as on prioritizing capabilities alongside with Product team/ppDevelop or fine-tune models for fine grained scene segmentation, annotation, summarization, metadata generation, and selection from videos/ppUse open-source and off-the-shelf gen AI models as the starting point for model fine-tuning and improvements, maximizing precision and recall on WBD content and objectives/ppHelp build a culture of innovation and engineering excellence by providing guidance to a team of machine learning engineers/ppCollaborate with adjacent engineering teams to ensure tight integrations to production pipelines in media supply chain and video streaming applications/ppEvaluate and work with vendors to ensure product deliverables and engineering standards are met, when applicable/ppBe a thought leader and engineering and operational excellence champion/ppDemonstrate and foster a culture of growth mindset and curiosity for keeping up with the evolving state of the art and be nimble to rapidly adapt to new models and architectures/ppMentor, influence engineers across organizations and lead by example with high quality work at the organization level/ph3What to Bring/h3p7+ years of coding experience in the industry (C/C++, Java, Go, Python)/pp5+ years of applied machine learning experience to CV tasks/ppMasters/PhD degree required/ppExcellent familiarity with state-of-the-art large-language-models, image and video models and their applications to multi modal tasks/ppAbility to implement algorithms from state-of-the-art papers in the domain of computer vision (in particular, video processing)/ppExcellent architecture and design skills applied to Machine Learning products/ppExperience with PyTorch and/or TensorFlow/ppVery strong foundations in Computer Science, Data Structures and Algorithms/ppAbility to transfer high level, abstract and ambiguous tasks into a set of clear technical requirements/ppAbility to understand and embrace complex business interest and operations, and communicate the impact of AI in less technical terms with stakeholders/ppSystematic and pragmatic engineer, balancing business sense of urgency with engineering excellence/ppAbility to assess different solutions for the same problem with key metrics, trade-offs and be able to make an informed decision/p/div

United States

Languages

English

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