Applied ML Research Engineer - Video AI

Adobe Systems Incorporated • San Jose, CA

59d

About The Position

Adobe is the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly, and Experience Cloud. We've made industry-leading progress in GenAI, recently launching Firefly Services (APIs), Firefly Custom Models, and AI-powered features within flagship products like Photoshop, Express, and Adobe GenStudio. We're looking for an exceptional Applied ML Research Engineer to advance our video AI capabilities-including video understanding, intelligent reframing, content analysis, and multimodal processing. You'll research, design, and deploy GenAI features that empower enterprise creators and marketers to transform creative intent into exceptional video content at scale. As an Applied Research Engineer, you'll bridge cutting-edge research and real-world applications, shaping the Intelligence Layer that powers GenAI features for enterprises worldwide. You'll join a highly collaborative team working with internal product groups and strategic partners to solve complex AI challenges and deliver tangible results.

Requirements

• B.S. or higher in Computer Science, Engineering, Mathematics, or related field
• 3+ years of hands-on experience building and deploying ML models inproduction
• Strong expertise in video understanding, computer vision, or multimodal AI (video + language/audio)
• Demonstrated experience training, finetuning, and optimizing large-scale models (LLMs, vision transformers, video models)
• Proficiency in Python and deep knowledge of ML frameworks (PyTorch, TensorFlow, etc.)
• Track record of delivering impactful, production-grade AI solutions
• Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment
• Passion for pushing the boundaries of what's possible with video AI

Responsibilities

• Research, train, and deploy state-of-the-art ML models for video understanding, video reframing, temporal analysis, and audio-visual processing
• Build multimodal AI systems that combine vision, language, and audio to enable intelligent video editing and content creation workflows
• Develop video-specific AI features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing
• Leverage LLMs and vision-language models to analyze complex video data and extract actionable insights
• Build and optimize agentic AI workflows that enable dynamic user interaction with video AI systems
• Develop scalable evaluation frameworks to assess accuracy, robustness, and usability of video AI models
• Partner with product, UX, and business development teams to translate video AI innovations into enterprise-grade features
• Collaborate with Adobe Research to explore emerging video AI technologies and transform research into interactive prototypes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 5,001-10,000 employees