The Rundown AI, Inc.
AI Engineer, Reality Labs Foundation
The Rundown AI, Inc., Little Rock, Arkansas, United States
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.
AI Engineer, Reality Labs Foundation 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
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience with Python, C, C++, or other related programming languages, and with the PyTorch framework
3+ Years of experience in designing and developing applications that process and leverage large-scale datasets, with a focus on fine‑tuning AI models and building agentic AI systems
Demonstrated ability to solve complex problems and compare alternative solutions, tradeoffs, and different perspectives to determine a path forward
Experience working and communicating cross‑functionally in a team environment
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
PhD in Computer Science, Computer Engineering, Machine Learning, or a related technical field
Experience with automated testing of consumer devices in a CI/CD environment
Expertise in leveraging AI/ML to optimize quality processes
Demonstrated ability to fine‑tune and deploy advanced AI models for real‑world QA scenarios
Familiarity with agentic AI systems for autonomous testing, computer use, and decision‑making
Contributions to open source, industry standards, or published research in relevant fields
Experience with reinforcement learning, simulation environments, or agent‑based modeling for quality assessment
Background in statistical analysis, experiment design, and evaluation methodologies for AI‑driven quality systems
Familiarity with Reality Labs products, AR/VR devices, or other complex consumer hardware/software platforms
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑ext@fb.com.
$70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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AI Engineer, Reality Labs Foundation 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
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience with Python, C, C++, or other related programming languages, and with the PyTorch framework
3+ Years of experience in designing and developing applications that process and leverage large-scale datasets, with a focus on fine‑tuning AI models and building agentic AI systems
Demonstrated ability to solve complex problems and compare alternative solutions, tradeoffs, and different perspectives to determine a path forward
Experience working and communicating cross‑functionally in a team environment
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
PhD in Computer Science, Computer Engineering, Machine Learning, or a related technical field
Experience with automated testing of consumer devices in a CI/CD environment
Expertise in leveraging AI/ML to optimize quality processes
Demonstrated ability to fine‑tune and deploy advanced AI models for real‑world QA scenarios
Familiarity with agentic AI systems for autonomous testing, computer use, and decision‑making
Contributions to open source, industry standards, or published research in relevant fields
Experience with reinforcement learning, simulation environments, or agent‑based modeling for quality assessment
Background in statistical analysis, experiment design, and evaluation methodologies for AI‑driven quality systems
Familiarity with Reality Labs products, AR/VR devices, or other complex consumer hardware/software platforms
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑ext@fb.com.
$70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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