Lead Applied Researcher

The Opportunity Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive!

By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design!

- Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express - Lead and mentor a small team of applied researchers, providing technical direction and encouraging a strong culture of innovation and experimentation. - Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling. - Design and build modular, reusable components that integrate with the Horizon AI Stack and scale across multiple creative workflows. - Own the ML lifecycle-from ideation and prototyping to evaluation and deployment. - Drive collaboration with Adobe Research, product, and platform teams to translate ideas into production-ready capabilities. - Define and implement evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback -

- Masters, or PhD in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience. - 7+ years of industry experience in machine learning and product development related to AI. - Demonstrated experience mentoring or technically guiding other researchers or engineers. - Strong programming skills and proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX. - Experience with modern ML architectures including transformers / visual transformers, diffusion models, or GANs. - Experience with cloud platforms, MLOps and deploying ML systems in production at scale. - Be able to quickly read, understand and prototype relevant research papers.

- Experience with Large Language Models and model adaptation techniques (Ex: PEFT, SFT, RL etc.) - Familiarity with agent-based systems, intelligent assistants, or planner-based AI. - Experience in creative, imaging, or multimedia domains. - Publications in renowned ML/CV/AI conferences (e.g., NeurIPS, CVPR, ICML, SIGGRAPH).

- Be a leader with a point of view and a passion for creativity, striving to improve solutions. - Be up to date with the latest and greatest in AI Research. - Comfortable working in a fast, iterative and ambiguous environment. - Strong communication skills with the ability to explain technical ideas and experiment results clearly. - Collaborative spirit with a focus on product impact, AI / ML innovation and engineering excellence.

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 In Washington, the pay range for this position is $227,900 - $330,050