Senior Staff Applied Scientist - AI/ML

Adobe is seeking Senior Staff Applied Scientists who excel at turning research breakthroughs into innovative product features. In this role, you will focus on scouting, adapting, and improvising the latest research to advance Adobe’s AI capabilities in the field of Natural Language, Image/Video generation, editing, and multimodal AI that impact millions of users. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, Large language models. Familiarity with inference optimization, performance trade-offs, and scalable integration will be an asset. What You Will Do Transform innovative research concepts into practical applications within the realm of Generative AI, LLMs, Reinforcement learning, Reasoning, Evaluations. Prototype and experiment rapidly, demonstrating feasibility and business impact. Push beyond academic results to develop and deploy practical, differentiated innovations for Adobe’s products. Collaborate with world-class researchers and ML engineers to bring research ideas to production. Publish and present your work in world-class scientific venues in AI/ML fields. Develop and enhance GPU-accelerated pipelines for (customized) model training and inference, focusing on performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To Succeed Ph.D. or Masters or equivalent experience in Engineering, Computer Science, AI/ML or related fields and 10+ professional experience. Research or industry experience in training AI/ML models in at least one of the following modalities: multimodal LLMs, Image, Video. Proficiency in training and optimizing large-scale models, involving data curation, distributed training, and memory-efficient strategies. Experience with post-training techniques such as fine-tuning, alignment or distillation. Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters. Excellent communication skills and a strong great teammate. Preferred Qualifications Experience on large-scale generative model training. Experience on synthetic data generation. Previous involvement with product teams in technology transfers. Experience of working with large-scale datasets. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $182,900 -- $334,500 annually. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). 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 applicable characteristics protected by law. State-Specific Notices: California: Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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