Machine Learning Engineer

Adobe • San Jose, CA

14d

About The Position

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. 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

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