Senior Applied Researcher

Responsibilities

• Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express.
• Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning.
• Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling.
• Design and build modular ML components that integrate into Adobe’s Horizon AI Stack and serve multiple creative workflows.
• Drive the end‑to‑end ML lifecycle—from experimentation to evaluation, optimization, and production deployment.
• Collaborate closely with Adobe Research, engineering, and product teams to bring AI‑powered features to life.
• Design evaluation strategies using a combination of automated metrics, LLM‑based judges, and user feedback.

Basic Qualifications

• Masters, or PhD, in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience.
• 5+ years of industry experience in machine learning and product development related to AI.
• 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.
• Ability to quickly read, understand, and prototype relevant research papers.

Preferred Qualifications

• Experience with Large Language Models and model adaptation techniques (e.g., PEFT, SFT, RL).
• 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).

What You Need to Succeed

• Passion for creativity and learning with a drive to improve solutions.
• Stay up to date with the latest research in AI.
• Comfortable working in a fast, iterative, and ambiguous environment.
• Strong communication skills to explain technical ideas and experimental results clearly.
• Collaborative spirit focusing on product impact, AI/ML innovation, and engineering excellence.

Compensation

U.S. pay range: $142,700 – $270,950 annually (may vary by location and experience). Specific regional ranges: California $187,100–$270,950; Washington $168,600–$244,200.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.