Adobe
Our Company
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.
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.
What you will be responsible for
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 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
What you'll need to succeed
Master’s or Ph.D. in Computer Science, AI/ML or related fields
Publication record and strong 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 with state-of-the-art Generative AI technologies, such as VLMs and diffusion models
Hands-on experience with image/video understanding, generation and editing
Experience working with large-scale datasets
Adobe is an Equal Employment Opportunity employer and does not discriminate on the basis of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other legally protected characteristic. We strive to make our website accessible and will provide accommodations as needed at accommodations@adobe.com.
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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.
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.
What you will be responsible for
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 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
What you'll need to succeed
Master’s or Ph.D. in Computer Science, AI/ML or related fields
Publication record and strong 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 with state-of-the-art Generative AI technologies, such as VLMs and diffusion models
Hands-on experience with image/video understanding, generation and editing
Experience working with large-scale datasets
Adobe is an Equal Employment Opportunity employer and does not discriminate on the basis of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other legally protected characteristic. We strive to make our website accessible and will provide accommodations as needed at accommodations@adobe.com.
#J-18808-Ljbffr