Senior Applied Scientist
About The Position
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. The Video data team 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!
Requirements
- Masters or Ph.D. in Computer Science, AI/ML or related fields
- Publication record and good academic background in Computer Vision and foundational models
- Excellent communication skills
- Strong proficiency in Python and PyTorch
- 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
Responsibilities
- Develop and fine-tune (e.g., ViTs, VLMs, multimodal encoders) large-scale foundation models for video understanding and generation
- Drive data for models: design schemas, create/curate large-scale multimodal datasets (image/video/text/edits), and build automated filters, alignment, and de-duplication at production scale.
- MLLM & Editing FMs: research, train, and evaluate multimodal LLMs and editing-oriented foundation models that enable creation, transformation, and in-product editing workflows.
- Collaborate with extraordinary researchers and engineers to bring research ideas to production
- Stay on top of the latest ML research (e.g., diffusion models, alignment methods, multimodal understanding) and translate advances into practical solutions
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
