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Manager, Machine Learning Engineering
Warner Bros.United States
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Manager, Machine Learning Engineering
Colgate-PalmoliveNew YorkNo Relocation Assistance OfferedJob Number #171681 - New York, New York, United StatesWho We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries special
Manager, Machine Learning Engineering
Warner Bros.United StatesManager, Machine Learning Engineering – Video AI & Studio AIWe build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combine
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Senior Manager, Machine Learning Engineering
HobbsnewsVirginiaSenior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at
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Capital One National AssociationNew YorkSenior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at
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The Walt Disney CompanyUnited StatesTechnology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists
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Manager, Machine Learning
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VanguardUnited StatesManager, Machine Learning EngineerApply (https://vanguard.wd5.myworkdayjobs.com/en-US/vanguard_external/job/Malvern-PA/Manager--Machine-Learning-Engineer_178151/apply)locationsMalvern, PACharlotte, NC
Machine Learning (ML) Applications Engineer- Chemical/Process Engineering
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Über
We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content. We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows. What You'll Do Lead a team of machine learning engineers working on video AI across understanding and creative applications Stay hands-on, contributing directly to modeling, prototyping, and production systems Drive execution across the full ML lifecycle: problem definition, modeling, evaluation, and deployment Partner with product, creative, and engineering teams to define priorities and deliver impactful ML-powered features Build and scale production-grade ML systems for video understanding and creative workflows Balance rapid iteration with building robust, scalable systems Provide technical leadership and mentorship, raising the bar for ML and engineering practices Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions Qualifications & Experience 8+ years of experience in machine learning / software engineering, with a focus on computer vision, video understanding, and gen AI 2+ years of experience leading or mentoring engineers, with a strong preference for hands-on leadership Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Proven track record of building and deploying end-to-end ML systems in production Strong background in computer vision, video understanding, or multimodal systems Experience with large-scale datasets and distributed systems Experience with generative AI techniques (e.g., diffusion, image/video generation) Strong system design and architecture skills Ability to operate in ambiguous, fast-moving environments while maintaining execution focus Strong collaboration and communication skills across technical, product, and creative teams
Sprachkenntnisse
- English
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