[Remote] Research Scientist Intern, Machine Perception for Input and Interaction (PhD)
Note: The job is a remote job and is open to candidates in USA. Meta is a technology company focused on helping people connect and build communities through immersive experiences. They are seeking interns to contribute to the development of next-generation interaction technologies for virtual and augmented reality, specifically in areas like computer vision and machine learning.
Responsibilities
- Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping
- Design of user studies and experiments
- Collaboration with other researchers across various disciplines
- Communication of research agenda, progress, and results
Skills
- Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
- 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
- Excellent communication skills
- High levels of creativity and problem solving capabilities
- Experience with C++ or Python
- Experience with ML frameworks such as PyTorch, Tensorflow, etc
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- 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
- Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- 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
- Experiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real time applications
- Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
- Experience with Machine Learning for Visual Synthesis
Benefits
- Benefits
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