Adobe is seeking Senior Staff Applied Scientists to advance its AI capabilities in Natural Language, Image/Video generation, editing, and multimodal AI by transforming research breakthroughs into innovative product features that impact millions of users.
Requirements
- 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.
- Experience on large-scale generative model training.
- Experience on synthetic data generation.
- Experience of working with large-scale datasets
Responsibilities
- 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.
Other
- Ph.D. or Masters or equivalent experience in Engineering, Computer Science, AI/ML or related fields and 10+ professional experience.
- Excellent communication skills and a strong great teammate.
- Previous involvement with product teams in technology transfers.
- Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
- 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.
