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

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

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

Redmond, WA

Research

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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.

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

• Create novel systems and components for semantic compression and communication systems that are efficient and achieve high performance through a combination of algorithms and machine learning.
• Significantly advance the state of the art for end-to-end approaches along the full compression/communications and machine learning pipeline (including sensor captures, wireless transmission, latent representation, neural encoding and decoding).
• Rapidly design, develop, prototype, execute and analyze the above systems and components for contextual AI systems for future devices.
• Collaborate with other researchers across various disciplines in a highly cross-functional and interdisciplinary team.

Minimum Qualifications

• 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

Preferred Qualifications

• 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

About Meta

Meta builds technologies that 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $7,650/month to $12,667/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabili