Sr Applied Scientist, Generative AI/ML

The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors. What You’ll Do Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs. Develop and deploy novel generative AI technologies to existing and new Adobe Products. Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities. Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions. Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields. Required Qualifications Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience. Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio. Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques. 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. What You’ll Bring Experience on large-scale generative model training. Experience on synthetic data generation. Experience of working with large-scale datasets. Experience of working with product teams on technology transfers. Expected Pay Range 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 $142,700 - $270,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In Washington, the pay range for this position is $168,600 - $244,200. 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. #J-18808-Ljbffr Dormont Manufacturing Co