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Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Meta

Seattle, WA

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JOB DETAILS
SKILLS
Algorithms, C++ Programming Language, Cloud Computing, Communication Skills, Computer Graphics, Computer Vision, Conferences, Data Processing, Deep Learning, Engineering, Fellowship, Geometry, GitHub, Hardware Design, Human-Computer Interaction, Human-Computer Interaction Hardware, Machine Learning, Mathematics, Mobile Devices, Natural Language Processing (NLP), Open Source, Patents, Problem Solving Skills, Publications, Python Programming/Scripting Language, RSS (RDF Site Summary), Radio Frequency, Robotics, Scientific Research, Simulation, Software Engineering, Software Prototyping, System-on-a-Chip (SoC), User Interface Design, User Interface/Experience (UI/UX), Virtual Reality
LOCATION
Seattle, WA
POSTED
30+ days ago
**Summary:** Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance modeling, physically-based modeling, sensor design and fusion, and human computer interaction. We are accepting applications from those interested in (but not limited to) the following areas:*Tracking of hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusion*Egocentric human action recognition and emotion recognition*Hand motion sequence modeling for hand-object interaction using deep generative models or physical simulation*Representation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking*Efficient deep learning (e.g., neural architecture search, sparsity, quantized networks)*Interaction design for hands, bodies and objects in virtual reality and augmented reality*Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking*Efficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth*Accurate and efficient 3D representations of deformable shapes such as clothing and hair **Required Skills:** Research Scientist Intern, Machine Perception for Input and Interaction (PhD) Responsibilities: 1. Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping 2. Design of user studies and experiments 3. Collaboration with other researchers across various disciplines 4. Communication of research agenda, progress, and results **Minimum Qualifications:** Minimum Qualifications: 5. Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field 6. Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action/emotion recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interaction 7. Excellent communication skills 8. High levels of creativity and problem solving capabilities 9. Experience with C++ or Python 10. Experience with ML frameworks such as PyTorch, Tensorflow, etc 11. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc 13. Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experiences working on high volume multi-sensor streaming data processing and real-time multi-sensor, in particular cameras, fusion for computer vision and machine learning systems 15. Experiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real time applications 16. Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels) 17. Experience with Machine Learning for Visual Synthesis **Public Compensation:** $7,650/month to $12,134/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 accommodations-ext@meta.com.

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