Research Scientist Intern, World-Model Aware Perception & Communication (PhD)

Meta; Redmond; On-site; AUD 52,000 - 79,000; Full time

Job summary

Meta is seeking emerging researchers for the Surreal group within Reality Labs Research. Interns participate in twelve to twenty-four week programs, working on novel computational and communications systems and foundational technologies for Meta's contextual AI.

PhD students across CS, EE, CE, physics and related fields are welcome to apply. Internships span several start dates year-round, with opportunities to contribute to cutting-edge research, collaborate cross-functionally, and impact

Qualifications

• Enrolled or holding a PhD in CS/EE or related field.
• Demonstrated research in compression, communications, CV, digital twin, or ML.
• 2+ years Python/C++ for ML/CV.
• Must have work authorization for the country of employment.

Responsibilities

• Conduct cutting-edge research in semantic communication and related domains.
• Develop and evaluate novel computational and communications systems.
• Publish findings in leading workshops, conferences, or journals.

Skills

Python

C++

Machine Learning

Computer Vision

Research

Team collaboration

Work authorization

Education

PhD in Computer Science / Electrical Engineering / related field

Tools

GitHub

Job description

The Meta Reality Labs Research Team brings together a world‑class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal group at RL Research is looking for emerging scientists and researchers with interest in novel computational and communications systems. Our goal is to perform cutting edge research leading to foundational technologies that will underpin Meta's future contextual AI. We welcome PhD students across computer science, electrical engineering, computer engineering, applied physics, and related disciplines.

Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

• Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field
• Demonstrated research experience in Compression, Communications, Computer Vision, Digital Twin, World Model, or Machine Learning
• 2+ years experience in using Python or C++ for Machine Learning and Computer Vision
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Broad understanding of communications theory and systems - from conventional modulation, coding, beamforming, to more recent digital twin and neural network based approaches
• Good understanding on end-to-end pipeline for semantic communication systems from source coding, semantic features extraction, channel coding to high level neural network based end-to-end approaches, wireless digital twin, or world mode
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, conferences or journals
• Demonstrated experience of software, end-to-end system model, or communication system via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Experience working and communicating cross functionally in a team environment
• Intent to return to a degree program after the completion of the internship/co-op