Summary:

　　Our team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Meta products. From indoor/outdoor location positioning using a variety of sensors for dead reckoning, inertial and visual sensor fusion, motion tracking and understanding, our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

　　Required Skills:

　　Research Scientist Intern, Sensor Fusion and Machine Learning (PhD) Responsibilities:

　　Participate in cutting edge Tracking, Sensor Fusion & Machine Learning research and development for VR/AR/MR related topics

　　Develop technology that will be part of mass-market shipping consumer products

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Currently in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of computer vision, machine learning, computer graphics, Intelligent Transportation Systems, robotics or a relevant discipline.

　　3+ years experience with Python and/or C++

　　2+ years experience with modern deep learning frameworks like PyTorch

　　Excellent interpersonal skills, cross-group and cross-culture collaboration

　　Ability to communicate complex research in a clear, precise, and actionable manner.

　　Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

　　Preferred Qualifications:

　　Preferred Qualifications:

　　Proven track record of achieving significant results as demonstrated by publications in top computer vision conferences (e.g., CVPR, ICCV, ECCV ,ICRA, IROS or, SIGGRAPH) or journals (e.g., IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Pattern Recognition, or IEEE Transactions on Image Processing).

　　Demonstrated software engineering experience via an internship, work experience, coding competitions, open source contributions, or research

　　Intent to return to a degree-program after the completion of the internship/co-op.

　　Knowledge in handling any of the following Sensors: IMU, magnetometer, WiFi, Camera and GNSS

　　Knowledge in Sensor Data Fusion with one or more of these techniques: Kalman filter and State Estimation Techniques, Neural Inertial Fusion, Multi-rate Data Fusion, Dead Reckoning and Signal Conditioning

　　Knowledge in Classical Computer Vision and Machine Learning, in one or more of the following domains: Scene Understanding, Scene Segmentation and Matching Algorithms

　　Understanding of on-device challenges and requirements such as memory constraints, power constraints and real-time inference

　　Public Compensation:

　　$7,650/month to $11,333/month + benefits

　　Industry: Internet

　　Equal Opportunity:

　　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 [email protected].