Senior Staff Applied Scientist - AI/ML

About the role

Adobe is seeking a Senior Staff Applied Scientist to transform innovative research concepts into practical applications within the realm of Generative AI, LLMs, Reinforcement learning, Reasoning, Evaluations. This role involves prototyping and experimenting rapidly, demonstrating feasibility and business impact, pushing beyond academic results to develop and deploy practical, differentiated innovations for Adobe's products. The ideal candidate will collaborate with world-class researchers and ML engineers to bring research ideas to production.

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.

Requirements

• 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 team player.

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.

Qualifications

• To succeed, candidates should have a 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 team player.

Skills

• Ability to transform innovative research concepts into practical applications.
• Experience with GPU-accelerated pipelines for model training and inference.
• Strong collaboration and communication skills.
• Experience with large-scale datasets and model training.

Benefits

At Adobe, we offer a competitive compensation package, including a range of $182,900 -- $352,350 annually in the U.S., and $243,300 - $352,350 in California. Additional benefits include comprehensive health insurance, retirement plans, paid time off, and opportunities for professional development.

Pay

The expected pay range for this position is $182,900 -- $352,350 annually in the U.S., and $243,300 - $352,350 in California. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Schedule

Details on the schedule are not specified in the job posting.

Benefits

Details on the benefits are not specified in the job posting.