Senior Applied Scientist

Adobe
Seattle$205k – $297kPosted 10 April 2026

Job Description

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 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 you'll need to succeed: 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 #fireflyGenAI About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodationsadobe.com or call 1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to refl ... (truncated, view full listing at source)
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