Research Engineer - Machine Learning for Behavioral AI

Meta's Reality Labs Research (RL-R) is seeking a Research Engineer specializing in Machine Learning for Behavioral AI to join their innovative team. This role sits at the intersection of artificial intelligence, augmented reality, and human behavior analysis.

The position involves working with cutting-edge AI technology to develop novel algorithms for inferring human behavior patterns, particularly focusing on attention, cognition, and emotion. You'll be working with multimodal, egocentric data to create robust and efficient models that will shape the future of Wearable AI technology.

As a Research Engineer, you'll collaborate with world-class researchers and engineers in developing end-to-end wearable AI experiential validation platforms. The role requires expertise in machine learning, computer vision, and a strong understanding of complex ML systems. You'll be working with state-of-the-art generative AI and language models while optimizing for efficiency and latency in constrained compute platforms.

The ideal candidate should have at least 5 years of experience or a PhD with 2+ years of experience, strong Python skills, and extensive knowledge of machine learning frameworks, preferably PyTorch. Experience with multimodal sensing platforms, computer vision, and AR/VR development would be highly valuable.

This is an opportunity to work at the forefront of technology, helping to create the next evolution in social technology at Meta. You'll be part of a team that's pushing the boundaries of what's possible in AR, VR, and AI, working on projects that will potentially impact billions of users worldwide.

The position offers competitive compensation ranging from $70,670 to $208,000 annually, plus bonus and equity opportunities. Based in Seattle, WA, you'll be working with Meta's Reality Labs Research team in developing technologies that will define the future of human-computer interaction.

Join Meta in this exciting role where you'll help transform science fiction into reality, creating technologies that will fundamentally change how people interact with their surroundings and with each other.