Research Engineer, Computer Vision for Generative AI (PhD)

Meta is seeking a Research Engineer to join their media foundation modeling team, focusing on advancing state-of-the-art image and video foundation models. This role combines cutting-edge AI research with practical engineering implementation in the field of computer vision and generative AI.

The position requires a PhD in Computer Science or a related field, along with substantial experience in computer vision, machine learning, and software engineering. You'll be working at the intersection of vision and language, developing innovative architectures and solutions that push the boundaries of what's possible in AI technology.

The role offers an exciting opportunity to work with world-class researchers and engineers in Meta's AI division, contributing to technologies that will shape the future of content creation, productivity, and social media. You'll be involved in the entire development pipeline, from conceptualization to implementation, including hardware-software integration and data collection systems.

Key technical areas include experience with PyTorch or TensorFlow, sequence modeling, domain adaptation, and representation disentanglement. The role also emphasizes practical implementation skills, requiring experience in designing data collection protocols and quality control systems.

Meta offers a competitive compensation package, including a base salary range of $56,250 to $173,000, plus bonus and equity opportunities. The position is based in Menlo Park, CA, at the heart of Meta's AI research efforts. This is an excellent opportunity for someone who wants to bridge the gap between academic research and practical applications in AI, working on projects that will impact billions of users worldwide.

The ideal candidate will have a proven track record in research, demonstrated through publications at top conferences like CVPR or SIGGRAPH, and experience in transferring research concepts into shipping products. You'll be joining a company that's not just focused on current technology but is actively shaping the future of digital interaction and immersive experiences.