Applied Scientist 4

Adobe Adobe · Enterprise · Noida, India +1

Lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, focusing on graphics and vector-based design workflows. This role involves transforming research into scalable, production-ready solutions, driving initiatives from exploration to productization, and impacting millions of creative users.

What you'd actually do

  1. Lead the design and implementation of advanced generative AI solutions for vector graphics, image processing, and creative workflows.
  2. Translate ambiguous research ideas into well-defined technical approaches and product opportunities.
  3. Architect and develop end-to-end systems spanning model training, optimization, and deployment in production environments.
  4. Build and optimize machine learning models using frameworks such as PyTorch or TensorFlow, ensuring high quality, efficiency, and scalability.
  5. Drive performance improvements for real-time and interactive applications, including latency, memory, and compute optimization.

Skills

Required

  • Master’s or PhD in Computer Science, Machine Learning, Computer Graphics, or a related field.
  • Strong foundation in mathematics, including linear algebra, geometry, optimization, and numerical methods.
  • Proven experience in machine learning, particularly in generative models, image processing, or graphics-related domains.
  • Strong programming skills in Python and/or C++, with experience building production-quality systems.
  • Experience with ML frameworks such as PyTorch or TensorFlow, including model development, evaluation, and deployment.
  • Demonstrated ability to optimize algorithms and systems for performance, especially in real-time or interactive environments.
  • Experience shipping features or systems into production at scale.
  • Strong problem-solving skills and the ability to work effectively in ambiguous, fast-paced environments.

Nice to have

  • Experience with generative AI techniques such as diffusion models, transformers, or multimodal systems.
  • Background in computer graphics, computational geometry, or 3D modeling.
  • Publications in top-tier conferences such as SIGGRAPH, CVPR, or NeurIPS.
  • Experience working on creative tools or user-facing design applications.

What the JD emphasized

  • production-ready solutions
  • production environments
  • production-quality systems
  • shipping features or systems into production at scale

Other signals

  • generative AI
  • creative workflows
  • production-ready solutions
  • millions of creative users