Research Engineer - Embedded AI

Meta builds technologies that help people connect, find communities, and grow businesses, moving beyond 2D screens toward immersive experiences like AR and VR.
$147,000 - $208,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · AR/VR

Description For Research Engineer - Embedded AI

Meta is seeking a Research Engineer specializing in Embedded AI to join their Audio team within RL Research. This role combines cutting-edge machine learning with practical embedded systems implementation, focusing on improving listener experiences through wearable computing technology. The position requires expertise in efficient multimodal machine learning, working at the intersection of large-scale ML systems and egocentric audio-visual learning.

The ideal candidate will have strong technical foundations in both AI/ML and embedded systems, with experience in optimizing models for edge devices. They'll work closely with researchers and domain experts to develop novel solutions for audio-visual processing in AR/VR applications. The role involves not just theoretical work but hands-on implementation and optimization of ML models for real-world applications.

This is an exciting opportunity to work at Meta, a company at the forefront of social technology and immersive experiences. The position offers competitive compensation ($147,000-$208,000/year) plus bonus and equity, along with comprehensive benefits. You'll be part of Meta's mission to build the next evolution in social technology, working beyond traditional screens toward groundbreaking AR/VR experiences.

The role combines research innovation with practical engineering, requiring both technical expertise and collaborative skills. You'll be working with cross-functional teams, contributing to Meta's vision of the future of human connection and interaction. This position is perfect for someone who wants to push the boundaries of what's possible in embedded AI while working on products that could impact billions of users worldwide.

Last updated 2 days ago

Responsibilities For Research Engineer - Embedded AI

  • Work with AI researchers and audio/acoustics domain experts on designing and building novel low-compute, low-power ML and CV for egocentric audio-visual learning
  • Lead the implementation, benchmarking, and optimization of ML models running on edge devices
  • Support quick prototyping, proof of concept, or proof-of-experience and demonstrations
  • Develop and maintain technical documentation for AI model implementation and optimization

Requirements For Research Engineer - Embedded AI

Python
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Familiarity with SoC Architecture
  • 3+ years of experience in developing, implementing, and optimizing real-time AI models on edge devices
  • Demonstrated experience of common AI engines on camera and System-on-Chip (SoC)
  • Familiarity with relevant tools such as ExecuTorch, TensorFlow Lite, or similar frameworks
  • Demonstrated experience in programming skills in C++, Python, or other relevant languages
  • Experience with cross-group and cross-discipline collaboration

Benefits For Research Engineer - Embedded AI

Medical Insurance
Equity
  • Bonus
  • Equity
  • Medical benefits

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