Machine Learning Engineer

Adobe Adobe · Enterprise · Toronto, ON

Machine Learning Engineer at Adobe focused on building next-generation agentic recommendation features for Adobe Express, Creative Cloud, and Document Cloud. The role involves researching, developing, and implementing ML models and search infrastructure for recommendation and retrieval use cases, with experience in fine-tuning LLMs and deploying full-stack features. The position also requires developing evaluation methods for AI features.

What you'd actually do

  1. Research, develop and implement ML models and Search infrastructure for recommendation and retrieval use cases
  2. Develop robust methods to evaluate features using LLMs, ensuring ethical AI practices that reflect Adobe's standards
  3. Experience deploying full-stack features to users in the areas of recommendations and/or search
  4. Experience fine-tuning LLMs for specific learning tasks

Skills

Required

  • Python
  • ML models
  • Search infrastructure
  • recommendation systems
  • retrieval
  • fine-tuning LLMs
  • deploying full-stack features

Nice to have

  • Java
  • bandits
  • NLP
  • content intelligence models

What the JD emphasized

  • 3+ years of relevant experience required

Other signals

  • building next-generation Agentic Recommendation features
  • developing innovative AI-powered search, recommendations, and assistive experiences
  • Experience deploying full-stack features to users in the areas of recommendations and/or search