Senior Applied Scientist

Adobe • San Jose, CA

11d

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Adobe Firefly Applied Science & Machine Learning (ASML) group is seeking a GenAI Tech Lead (P50) to drive execution for our Multimodal LLM (MLLM) and Editing Foundation Models that power image and video creation/editing across Firefly and Adobe’s marketing and creative products. You’ll be a hands-on leader who turns strategy into plans, leads a small cross-functional squad, and ships models and features to production—partnering closely with architects, research, data, infra, and product.

Requirements

• Master’s or Ph.D. in CS/AI/ML or equivalent experience.
• Strong grasp of multimodal learning (vision-language encoders, fusion/cross-attention), instruction tuning, and alignment/safety practices.
• Proficiency with Python and modern ML stacks (e.g., PyTorch ), distributed training (FSDP/DeepSpeed), experiment management, and large-scale data pipelines.
• Demonstrated ability to lead a squad : plan, prioritize, and communicate clearly; drive decisions and deliver results in fast-moving environments.

Nice To Haves

• Shipped products and/or publications in generative AI, multimodal LLMs, or creative editing.
• Experience moving research to production with reliability, security, and compliance requirements.
• Familiarity with inference optimization (distillation, quantization, compilation, caching), evaluation design (human/automated, ELO-style, task metrics), and responsible AI.
• Background with enterprise creative/marketing workflows and customer-informed product development.

Responsibilities

• Lead execution for MLLM-driven editing (image + video): plan milestones, own sprints, unblock delivery, and ensure model quality and reliability.
• Translate high-level strategy into designs and roadmaps ; partner with architects and senior leadership to align scope, success metrics, and timelines.
• Deliver hands-on contributions in modeling, training, and evaluation; debug performance/quality issues; drive experiment rigor and reproducibility.
• Coordinate cross-functional work with Research, Data, Infra, and Product; manage dependencies and on-call/triage for your scope.
• Raise the bar on engineering quality: code reviews, benchmarks, experiment tracking, documentation, and operational excellence.
• Mentor engineers/scientists on the team; help with hiring, onboarding, and best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees