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AI Engineer, Reality Labs Foundation
full-timeSeattle, Redmond, Bellevue, Los Angeles, Burlingame$7k - $217k

Summary

Location

Seattle, Redmond, Bellevue, Los Angeles, Burlingame

Salary

$7k - $217k

Type

full-time

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About this role

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

  • 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


$74.04/hour to $217,000/year + bonus + equity + benefits

Other facts

Tech stack
Python,C,C++,PyTorch,AI Models,Data Analysis,Quality Assurance,Machine Learning,Automation,Collaboration,Mentoring,Statistical Analysis,Experiment Design,CI/CD,Agentic AI,Reinforcement Learning

About Meta

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies 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.

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For a full listing of our jobs, visit https://www.metacareers.com

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies 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.

To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:

• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).

For a full listing of our jobs, visit https://www.metacareers.com

Team size: 136778
LinkedIn: Visit
Industry: Software Development

What you'll do

  • Design and build testing frameworks to identify quality issues in hardware and software systems. Collaborate with teams to develop tools for continuous quality analysis and improvement.

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Frequently Asked Questions

What does Meta pay for a AI Engineer, Reality Labs Foundation?

Meta offers a competitive compensation package for the AI Engineer, Reality Labs Foundation role. The salary range is USD 7k - 217k per year. Apply through Clera to learn more about the full compensation details.

What does a AI Engineer, Reality Labs Foundation do at Meta?

As a AI Engineer, Reality Labs Foundation at Meta, you will: design and build testing frameworks to identify quality issues in hardware and software systems. Collaborate with teams to develop tools for continuous quality analysis and improvement..

Why join Meta as a AI Engineer, Reality Labs Foundation?

Meta is a leading Software Development company. The AI Engineer, Reality Labs Foundation role offers competitive compensation.

Is the AI Engineer, Reality Labs Foundation position at Meta remote?

The AI Engineer, Reality Labs Foundation position at Meta is based in Seattle, Washington, United States and Redmond, Washington, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the AI Engineer, Reality Labs Foundation position at Meta?

You can apply for the AI Engineer, Reality Labs Foundation position at Meta directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Meta on their website.