Software Engineer, Feedback & Learning Systems — Meta Factory

About the role

The Opportunity Adobe Unified Platform is building the system that changes how software gets made at Adobe. Meta Factory is the core of that platform: the Agentic Builders Experience that defines how agents understand their goals, decompose work, use tools, evaluate their own outcomes, and improve over time.

Responsibilities

• Build Meta Factory’s agent learning and feedback systems, including how agents evaluate outputs and improve over time.
• Build feedback pipelines that capture agent outcomes, identify quality signals, and turn those signals into system improvements.
• Apply AI-first techniques such as preference learning, reward modeling, reinforcement learning, and evaluation-driven improvement to raise agent quality release over release.
• Define how the learning layer connects with the Agent Harness, evaluation infrastructure, skills layer, and execution loop.
• Write clear development docs, review code, and mentor engineers inventing AI systems that learn from user input.

Requirements

• 8+ years of software engineering experience, including delivery of complex AI, ML, or data-intensive systems.
• Hands-on experience with LLM and agentic systems, including tool use, context management, output evaluation, and feedback-driven improvement techniques such as RLHF, preference learning, or reward modeling.
• Ability to make progress in ambiguous technical areas and turn broad goals into working systems.
• Experience applying AI techniques to real products or platforms with measurable impact.
• Proficiency in Python and at least one other programming language.
• Experience with cloud platforms such as AWS or Azure, data pipeline tools, and ML experimentation infrastructure.

Qualifications

• Strong hands-on expertise in agent execution, tool calling, context and state management, and sandboxed runtime systems.
• Experience building and owning key components of Meta Factory's Agent Harness.

Skills

• Strong understanding of AI, machine learning, and data-intensive systems.
• Experience with LLM and agentic systems.
• Ability to apply AI techniques to real products or platforms.
• Proficiency in Python and other programming languages.
• Experience with cloud platforms and ML experimentation infrastructure.

Benefits

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. We offer comprehensive benefits programs, including:

• Comprehensive health insurance options
• Flexible spending accounts
• Retirement savings plans
• Employee assistance programs
• Professional development opportunities
• Work-life balance initiatives

Pay

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $139,000 -- $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Schedule

Full-time position.