Research Scientist, Computer Vision/Wearables

$147,000 - $208,000/Yr

Meta - Redmond, WA

Full-time - Mid Level

Redmond, WA

5,001-10,000 employees

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About the position

The Research Scientist in Computer Vision/Wearables at Meta Reality Labs is responsible for advancing the state-of-the-art in wearable sensing technologies, focusing on computer vision and multi-modal sensing. This role involves collaboration with a multidisciplinary team to design and implement innovative solutions for gesture recognition, object detection, and scene understanding in real-time applications.

Responsibilities

• Implement state-of-the-art computer vision methods for wearable AI experiences, including gesture recognition, object detection, scene understanding.
• Plan and execute research that advances the state-of-the-art and improves our wearable sensing systems.
• Collaborate across an interdisciplinary team of researchers and engineers to optimize solutions at the systems level (sensor hardware, data collections, training, evaluation, real-time inference).
• Design and implement multi-modal models that combine cameras with other sensors, including IMUs and neural interfaces.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field.
• 5+ years of hands-on experience in researching and developing Computer Vision algorithms and systems in academia or industrial setting.
• 5+ years of experience writing software (Python and C/C++) and executing complex Machine Learning experiments.
• 3+ years of experience working with Deep Learning.
• Experience working and communicating in a cross-functional, diverse team environment.

Nice-to-haves

• Experience with Human Computer Interaction and interactive applications of Computer Vision and Machine Learning.
• Experience with low-level image and signal processing.
• Experience with joint hardware-software development and rapid prototyping of camera and sensors hardware.
• Experience designing data collection protocols and constructing high quality Computer Vision and Machine Learning datasets.
• Experience transferring technology from research in Computer Vision, Machine Perception or Machine Learning into a shipping product.
• Track record of significant scientific results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid time off
• Flexible scheduling
• Professional development opportunities
• Employee stock purchase plan
• Tuition reimbursement
• Wellness programs