Senior Applied Researcher

Adobe Adobe · Enterprise · San Jose, CA +2

Senior Applied Researcher at Adobe Express focused on building innovative machine learning models for Generative AI and Agentic scenarios. The role involves developing and deploying advanced ML models in computer vision, NLP, and multimodal learning, contributing to foundational AI systems, and integrating ML components into Adobe's Horizon AI Stack. Responsibilities include the end-to-end ML lifecycle, from experimentation to production deployment, and designing evaluation strategies.

What you'd actually do

  1. Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express.
  2. Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning.
  3. Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling.
  4. Design and build modular ML components that integrate into Adobe’s Horizon AI Stack and serve multiple creative workflows.
  5. Drive the end-to-end ML lifecycle—from experimentation to evaluation, optimization, and production deployment.

Skills

Required

  • 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.
  • Be able to quickly read, understand and prototype relevant research papers.

Nice to have

  • 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).

What the JD emphasized

  • 5+ years of industry experience in machine learning and product development related to AI
  • 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
  • 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

Other signals

  • develop and deploy advanced ML models
  • design and build modular ML components
  • drive the end-to-end ML lifecycle
  • design evaluation strategies