AI Engineer, Reality Labs Foundation

AI Engineer, Reality Labs Foundation

Drive the future of quality for the world's most complex devices by building agentic workflows and intelligent frameworks. In this role, you will architect and develop tools that empower autonomous systems to assess, analyze, and enhance product quality at every stage. You'll have unique opportunities to collaborate with machine learning experts and research teams, inventing new methodologies that proactively identify edge cases, surface actionable insights, and drive continuous improvement. Your work will set new standards for reliability, performance, and user experience across advanced hardware and software platforms.

Responsibilities

• Design and build agentic testing frameworks that proactively identify quality issues and edge cases across complex hardware and software systems.
• Devise rigorous engineering and data-driven approaches for efficient training of AI models and algorithm implementation.
• Develop scalable, reusable tools and infrastructure that enable continuous quality analysis and improvement throughout the product lifecycle.
• Drive context engineering strategies to ensure robust internal quality workflows.
• Integrate the latest advances in machine learning and research into practical solutions that enhance product quality and reliability.
• Establish, track, and analyze key quality metrics to measure the effectiveness of agentic workflows and drive data-informed decision making.
• Automate quality assessment, reporting, and remediation processes to streamline and enhance quality workflows.
• Collaborate with research scientists and cross-functional partners in a team environment.
• Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results.
• Mentor other team members and play a significant role in healthy cross-functional collaboration.
• Advocate for best practices in AI, software engineering, and quality to foster best engineering practices and innovation.

Minimum Qualifications

Preferred Qualifications