Principal Machine Learning Engineer, Agent Harness
Adobe
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How this pay compares to similar roles
This role pays more than 93% of similar roles. Most pay $172,900–$241,750 — the shaded band above. At the midpoint, this role pays about $280k versus about $207k for comparable roles.
Based on 240 similar postings.
Employer
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 218 open roles on FindRole.
Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.
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At a glance
Senior Software Engineer, Meta Factory Agent Harness joins the Adobe Unified Platform team to build and shape core agent harness systems within the Meta Factory initiative. This role focuses on developing infrastructure for agent execution, tool use, context management, state, and lifecycle management while defining standards for how agents interact with the harness. The engineer will design reusable architecture patterns that are secure, scalable, and maintainable while leading cross-team technical work and mentoring others. Key requirements include expertise in distributed systems, runtime design, platform architecture, and agentic systems, including LLM infrastructure and developer platforms. The role addresses the challenge of creating a robust substrate for autonomous agents to understand goals, decompose work, and use tools effectively. Required skills include experience with model context protocols, multi-agent coordination, tool calling patterns, sandboxed execution, and feedback-driven improvement systems.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
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