Research Scientist Intern, SLAM and Multimodal Sensing (PhD)

At Meta Reality Labs Research, our world-class team of researchers, developers, and designers collaborate to create innovative user experiences with contextual AI. As a Research Intern, you will investigate how people and AI agents interact through various interfaces and develop groundbreaking sensing technologies, interactions, and interfaces for wearable devices. Our mission is to invent user interface technologies that drive the next generation of augmented-reality experiences, unleashing human potential by removing barriers between intent and action.In this role, you will combine modalities such as visual, inertial, radar, or depth sensors to enhance localization and mapping in diverse and challenging environments. You will explore cutting-edge techniques, including deep learning, sensor fusion, and novel algorithmic approaches to push the boundaries of SLAM for contextual AI applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.

Research Scientist Intern, SLAM and Multimodal Sensing (PhD) Responsibilities:

• Plan and execute cutting-edge research to advance AI wearable research.
• Collaborate with dynamic teams of engineers, designers, and researchers.
• Organize and lead research activities such as designing and building prototypes, algorithm development, experimental design, data collection, and analysis.
• Write and publish high-quality scientific articles.
• Communicate research activities and findings to collaborators across various disciplines.
• Take big problems and deliver clear, compelling, and creative proposals for how to solve them at scale.
• Produce publishable research in top-tier journals or at leading international conferences.
  
  

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Robotics, AI/ML, Electrical Engineering, or relevant technical field.
• 3 years of research experience in SLAM, multimodal sensor fusion, or related fields, as shown in prior publications and portfolio.
• Hands-on experience building robust real-time SLAM systems.
• Programming proficiency in languages such as Python and C .
• Experience working with data from sensors such as cameras, IMUs, radar, or depth sensors.
• Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Cross-group collaboration and cross-culture collaboration.
• Clear and concise communication, both written and verbal.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  
  

Preferred Qualifications:

• Proven track record of achieving research results and innovation as demonstrated by patents or first-authored peer-reviewed publications in leading conferences or journals such CVPR, ECCV, ICCV, ICRA, IROS, RSS, IRSS, UIST, ISMAR.
• Familiarity with popular framework and libraries. (e.g., ROS, SLAM libraries like ORB-SLAM, VINS-Fusion, RTAB-Map, LSD-SLAM).
• Knowledge of state estimation, probabilistic robotics, and optimization techniques.
• Expertise in multimodal deep learning, including attention-based models or spatiotemporal networks.
• Advanced understanding of calibration techniques and noise modeling for multimodal sensors.
• Experience working and communicating cross functionally in a team environment.
• Intent to return to degree program after the completion of the internship/co-op.
• Availability for minimum 16 consecutive week internship.
  
  

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$7,800/month to $11,293/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.