The position involves developing computer vision and image processing algorithms for next-generation sensing systems in consumer electronics using metasurface technology.

In Short

Conceive and implement computer vision algorithms for secure authentication.
Work on facial identification and scene synthesis.
Implement algorithms on unique camera hardware.
Guide hardware development with necessary specifications.
Engage in documentation, code reviews, and design discussions.

Requirements

MS or PhD in Computer Science, Electrical Engineering, or relevant field.
5+ years of experience in building computer vision solutions.
Understanding of methods from OpenCV to deep learning.
Knowledge of cameras and image processing techniques.
Experience with biometric and facial ID applications.
Familiarity with software engineering best practices.
Proficiency in Python, C++, and/or Julia.

Benefits

Competitive salary and 401k with company contribution.
Comprehensive health, dental, and vision benefits.
Flexible work schedule with hybrid and/or work-from-home options.
Collaborative office space and complimentary snacks.
Free gym and bike parking on-site.
Fun and energizing work environment.

Metalenz

Metalenz is a Boston-based venture-backed startup that specializes in developing next-generation imaging and sensing solutions for high-volume consumer electronics markets. Built on foundational research from Harvard University, the company utilizes patented low-cost metasurface technology, advanced image processing, and innovative machine learning algorithms. Their flagship product, Polar ID, is a revolutionary polarizing camera designed to provide secure and affordable face unlock capabilities for smartphones. With a vibrant startup culture, Metalenz fosters a dynamic and collaborative work environment that values autonomy, encourages innovation, and supports career growth, allowing team members to take ownership of impactful projects.

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