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Research Scientist – Applied Perception Science – PhD
| Company | Meta |
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| Location | Redmond, WA, USA |
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| Salary | $117000 – $173000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Currently has or is in the process of pursuing a PhD in Machine Learning, Computer Vision, Vision Science, Applied Statistics, Computational Neuroscience, or a related field. Degree must be completed prior to joining Meta
- Proficiency in python and machine learning libraries (numpy, scikit-learn, scipy, pandas, matplotlib, tensorflow, pytorch)
- 2+ Years of experience in approaches to using self-supervised learning for computer vision including DeepMetric learning / neural network embedding methods
- Experience in understanding of approaches to characterize the statistics of natural images and/or how to use properties of network layers to characterize high level scene/image properties
- Experience with research involving defining problems, exploring solutions, and analyzing and presenting results
- Experience in communicating effectively with a broad range of stakeholders, collaborators and clients, at different levels
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Responsibilities
- Identify, develop, implement, and evaluate methods for learning robust representations to ground models human visual performance from egocentric video data
- Learn, evaluate, and use color and spatially calibrated camera and image processing pipeline to estimate physical scene parameters (e.g. luminance, chromaticity, 3D geometry as a function of visual direction)
- Utilize Meta’s large infrastructure to scale and speed up experimentation
- Write modular research code that can be reused in other contexts.
- Collaborate with experts in image quality computer and human vision
Preferred Qualifications
- Understanding of color image processing pipelines
- Understanding of modern adaptive camera and image processing pipelines
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
- Experience working and communicating cross-functionally in a team environment
