Sr Machine Learning Engineer 5 -- Aep, Agentic System

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $172,500 - $306,625 annually; california bas...
Senior machine learning engineer role
Agentic system architecture ownership
Python and ml frameworks proficiency
This senior role involves owning the end-to-end architecture of production-grade agentic AI systems from concept to deployment

Job Summary

  • This senior role involves owning the end-to-end architecture of production-grade agentic AI systems from concept to deployment.
  • Candidates will design robust agent orchestration, retrieval, and memory services while establishing safety and governance guidelines.
  • The position requires deep expertise in machine learning life cycles and hands-on experience with MLOps at scale.

Matching Summary

This senior role involves owning the end-to-end architecture of production-grade agentic AI systems from concept to deployment.

Salary

Base: $172,500 - $306,625 annually; California Base: $211,800 - $306,625; Equity: Eligible for new hire equity award

Skills & Requirements

Must-have

  • Senior Machine Learning Engineer role
  • Agentic system architecture ownership
  • Python and ML frameworks proficiency
  • MLOps and CI/CD for ML systems
  • LLM, RAG, and prompt engineering experience

Nice-to-have

  • Experience bridging research and production
  • Technical leadership and mentoring skills
  • Multi-agent orchestration expertise
  • Strong collaboration with product teams
  • Deep understanding of AI governance

Key Requirements

  • Graduate degree with 10+ years experience or PhD with 8+ years
  • Proven success shipping end-to-end ML systems
  • Hands-on experience with LLMs and agentic systems in production

Work Rights

Not specified

Tailored Resume

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