The opportunityAdobe 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. We are looking for a candidate who is motivated by moving fast with research and innovation and wants their ideas to shape the future of Adobe products.
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
AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
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 $182,900 -- $352,350 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 California, the pay range for this position is $243,300 - $352,350
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).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
