Principal Machine Learning Engineer, Agent Harness

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$261,800–$379,100 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $320k
$161k most similar roles pay here $402k

This role pays more than 94% of similar roles. Most pay $195,000–$251,625 — the shaded band above. At the midpoint, this role pays about $320k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

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 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

TL;DR · Principal Machine Learning Engineer, Agent Harness

Principal Machine Learning Engineer, Agent Harness - Meta Factory will join the Unified Platform team to define the technical architecture of the Agent Harness and serve as a senior technical leader in agentic systems. This role involves shaping the technical direction of the Agent Harness by contributing to agent execution, tool use, context, state, and lifecycle management while establishing engineering standards for AI-native software development. The candidate will manage harness interfaces, balance performance and cost, track emerging trends in agent runtimes, and lead cross-team initiatives. Required expertise includes distributed systems, runtime build, platform architecture, and LLM infrastructure, specifically involving fine-tuning and operating models at scale. The work focuses on the Agentic Builders Experience, solving complex problems regarding how agents understand goals, decompose work, use tools, evaluate outcomes, and improve over time within a multi-model environment.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Define the technical architecture of the Agent Harness and set long-term direction for agentic systems.
  • Design harness interfaces and standards while balancing performance, cost, and reliability.
  • Track and evaluate emerging trends in agent runtimes and tool-use standards for adoption.
  • Establish AI-first engineering standards and architectural guidelines across Adobe's organization.
  • Lead cross-team technical initiatives to solve complex architectural challenges.
  • Advise executive leadership on emerging agentic execution challenges.
  • Mentor senior technical talent across the organization in machine learning and agentic systems.

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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