AI Engineer, Reality Labs Foundation

**Summary:**

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.

**Required Skills:**

AI Engineer, Reality Labs Foundation Responsibilities:

1. Design and build agentic testing frameworks that proactively identify quality issues and edge cases across complex hardware and software systems

2. Devise rigorous engineering and data-driven approaches for efficient training of AI models and algorithm implementation

3. Develop scalable, reusable tools and infrastructure that enable continuous quality analysis and improvement throughout the product lifecycle

4. Drive context engineering strategies to ensure robust internal quality workflows

5. Integrate the latest advances in machine learning and research into practical solutions that enhance product quality and reliability

6. Establish, track, and analyze key quality metrics to measure the effectiveness of agentic workflows and drive data-informed decision making

7. Automate quality assessment, reporting, and remediation processes to streamline and enhance quality workflows

8. Collaborate with research scientists and cross-functional partners in a team environment

9. Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results

10. Mentor other team members and play a significant role in healthy cross-functional collaboration

11. Advocate for best practices in AI, software engineering, and quality to foster best engineering practices and innovation

**Minimum Qualifications:**

Minimum Qualifications:

12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

13. Experience with Python, C, C++, or other related programming languages, and with the PyTorch framework

14. 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

15. Demonstrated ability to solve complex problems and compare alternative solutions, tradeoffs, and different perspectives to determine a path forward

16. Experience working and communicating cross-functionally in a team environment

17. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

**Preferred Qualifications:**

Preferred Qualifications:

18. PhD in Computer Science, Computer Engineering, Machine Learning, or a related technical field

19. Experience with automated testing of consumer devices in a CI/CD environment

20. Expertise in leveraging AI/ML to optimize quality processes

21. Demonstrated ability to fine-tune and deploy advanced AI models for real-world QA scenarios

22. Familiarity with agentic AI systems for autonomous testing, computer use, and decision-making

23. Contributions to open source, industry standards, or published research in relevant fields

24. Experience with reinforcement learning, simulation environments, or agent-based modeling for quality assessment

25. Background in statistical analysis, experiment design, and evaluation methodologies for AI-driven quality systems

26. Familiarity with Reality Labs products, AR/VR devices, or other complex consumer hardware/software platforms

**Public Compensation:**

$70.67/hour to $208,000/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon 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.