Machine Learning Engineer

Adobe Adobe · Enterprise · San Jose, CA

Machine Learning Engineer at Adobe to build advanced AI platform for creative workflows, focusing on reasoning systems, tool orchestration, and multimodal integrations using LLMs and VLLMs. The role involves post-training and evaluation of LLMs, designing and implementing agent system architectures, and developing practical agents for image generation and editing within flagship products like Photoshop and Lightroom.

What you'd actually do

  1. Developing next-generation AI agents that improve Adobe’s product ecosystem
  2. Crafting robust agent architectures that combine multiple AI capabilities
  3. Designing evaluation frameworks for agent performance
  4. Implementing state-of-the-art LLM techniques for specialized applications

Skills

Required

  • Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field
  • Demonstrated experience in AI, LLMs, and agentic system development
  • Proficiency in frameworks like PyTorch, LangChain, LangGraph, MCP, Agent Development Kit (ADK)
  • Strong foundation in data structures, algorithms, and software engineering principles
  • Excellent problem-solving and analytical skills, with a proactive approach to challenges

Nice to have

  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

What the JD emphasized

  • LLM post-training and evaluation
  • Agent system architecture design and implementation
  • Practical agent development (Langchain, MCP, A2A)
  • Image generation and editing
  • Building scalable AI solutions
  • Developing next-generation AI agents that improve Adobe’s product ecosystem
  • Crafting robust agent architectures that combine multiple AI capabilities
  • Designing evaluation frameworks for agent performance
  • Implementing state-of-the-art LLM techniques for specialized applications

Other signals

  • LLM
  • VLLM
  • agent development
  • creative workflows