Adobe-posted 2 days ago
Full-time • Mid Level
San Jose, CA
5,001-10,000 employees

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for applied research scientists and engineers to help us build the next generation of creative tools. Video Gen org within ASML is looking for a Machine Learning Engineer with experience in video understanding and generation. We seek candidates with strong expertise in the field, as evidenced by peer-reviewed academic publications, combined with hands-on industrial research experience. As a Machine Learning Engineer at ASML, you will be joining an outstanding team of applied researchers and engineers building the future of digital experiences. You will have the opportunity to develop novel ideas to advance the Creativity world through features in Adobe's products and reach millions of people worldwide!

  • Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
  • Develop and fine-tune (e.g., ViTs, VLMs, multimodal encoders) large-scale foundation models for video understanding and generation
  • Collaborate with extraordinary researchers and engineers to bring research ideas to production
  • Convert a research idea/paper to code in Python and typical machine learning development toolkits
  • Stay on top of the latest ML research (e.g., diffusion models, alignment methods, multimodal understanding) and translate advances into practical solutions
  • Masters or Ph.D. in Computer Science, AI/ML or related fields
  • Excellent communication skills
  • Strong proficiency in Python and PyTorch
  • Solid foundation in computer science fundamentals
  • Experience with distributed training and its common strategies
  • Experience in state-of-the-art Generative AI technologies, such as VLMs and diffusion models
  • Strong hands-on experience working on image/video understanding, generation and editing
  • Working with large-scale datasets
  • Good publication record in Computer Vision, AI/ML or related fields
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