Software Engineer, Feedback & Learning Systems — Meta Factory
Core
Building the agent learning and feedback systems for Meta Factory, an autonomous agent platform that decomposes work and improves over time for Adobe engineers.
Role type
Senior Software Engineer (AI/ML Systems)
Builds
Meta Factory's Agent Harness, including learning layers, evaluation infrastructure, and feedback pipelines.
Domain
Artificial Intelligence / Machine Learning / Software Engineering
Deliverable
production ML models | product features
Required skills
LLM and agentic systems, tool use, context management, output evaluation, RLHF, preference learning, reward modeling, Python, cloud platforms (AWS/Azure), data pipelines, ML experimentation infrastructure
Preferred skills
Experience applying AI techniques to real products with measurable impact, ability to work in ambiguous technical areas
Technologies
Python, AWS, Azure, LLMs, RLHF, Reward Modeling
Responsibilities
Build agent learning and feedback systems, construct feedback pipelines for quality signals, apply AI-first techniques like reinforcement learning, define connections between learning layers and execution loops, write development docs and mentor engineers
Seniority
Senior, hands-on IC
