Principal Machine Learning Engineer, Agent Harness

Adobe

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Work type
On-site
Location
San Jose, CA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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Similar $225k
$167k $299k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $194,733–$254,750.

Based on 240 similar postings.

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About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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TL;DR · Principal Machine Learning Engineer, Agent Harness

The Principal Machine Learning Engineer joins the Meta Factory team to define the technical architecture of the Agent Harness. This role involves shaping the technical direction of agent execution, tool use, context, state, and lifecycle management. You will define harness interfaces and standards while balancing performance, cost, and reliability. Key responsibilities include leading cross-team technical initiatives, mentoring senior talent, and establishing engineering standards for AI-native software development. The position requires deep expertise in distributed systems, runtime build, and platform architecture, alongside hands-on experience with LLM infrastructure, fine-tuning, and operating models at scale. This work addresses the technical challenge of building a model-independent system that allows autonomous agents to understand goals, decompose complex work, and improve through iterative cycles across the enterprise.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

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What you'll do

  • Define the technical architecture and long-term direction of the Agent Harness.
  • Shape the technical direction for agent execution, tool use, context, and lifecycle management.
  • Define harness interfaces and standards while balancing performance, cost, and reliability.
  • Track and lead the evaluation and adoption of emerging agent runtime and tool-use standards.
  • Establish AI-first architecture and engineering standards for agentic systems across the company.
  • Lead cross-team technical initiatives and provide guidance on complex architectural challenges.
  • Advise engineering leadership on agentic execution challenges and mentor senior technical talent.

What we're looking for

  • 15+ years of software engineering experience with a record of innovation and business impact.
  • Deep expertise in distributed systems, runtime build, and platform architecture.
  • Experience leading large multi-functional initiatives.
  • Recognized expertise in agentic systems and LLM infrastructure.
  • Hands-on experience fine-tuning, optimizing, and operating models or runtimes at scale.
  • Experience driving AI-first architecture, engineering standards, technology choices, and product direction across organizations.
  • Strong communication and influence skills to align senior leaders and teams around a shared technical vision.

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