Staff Machine Learning Engineer/architect – Personalization, Adobe Experience Platform (aep)

ADOBE

Base: $172,500 - $306,625 annually; bonus/equity: ...
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Personalization systems expertise
Recommendation model development
Real-time decisioning architectures
** Adobe is seeking a Staff Machine Learning Engineer/Architect to develop advanced personalization AI systems within Adobe Experience Platform. The role requires significant expertise in machine learning, particularly in personalization models and MLOps, and offers the opportunity to work on cutting-edge AI technologies. **

Job Summary

  • Adobe is seeking a Staff Machine Learning Engineer/Architect to lead the development of next-generation personalization models and intelligent AI agents within Adobe Experience Platform.
  • This role involves designing and building advanced personalization models, developing LLM-powered intelligent agents, and leading MLOps initiatives to ensure system reliability and scalability.
  • Adobe fosters a company culture where all employees are empowered to make an impact and is committed to responsible AI practices and diversity.

Matching Summary

Match Score: 75

** Adobe is seeking a Staff Machine Learning Engineer/Architect to develop advanced personalization AI systems within Adobe Experience Platform. The role requires significant expertise in machine learning, particularly in personalization models and MLOps, and offers the opportunity to work on cutting-edge AI technologies. **

Salary

Base: $172,500 - $306,625 annually; Bonus/Equity: Annual Incentive Plan and possible equity awards; Benefits: Comprehensive benefits programs

Skills & Requirements

Must-have

  • personalization systems expertise
  • recommendation model development
  • real-time decisioning architectures
  • end-to-end ML system deployment
  • MLOps best practices
  • Python and ML frameworks proficiency
  • enterprise-scale ML infrastructure

Nice-to-have

  • collaboration with cross-functional teams
  • technical leadership and mentorship
  • responsible AI and fairness focus
  • agentic AI design experience
  • experience with multimodal LLMs

Key Requirements

  • Bachelor’s degree with 8+ years experience or PhD with 5+ years
  • Experience building and deploying ML systems at scale
  • Hands-on MLOps including CI/CD and model lifecycle management
  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow
  • Experience with personalization or recommendation systems
  • Strong analytical skills linking models to business metrics

Work Rights

Not specified

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