Researcher— Optical Systems & Machine Learning
Core
Researcher developing next-generation camera technologies, computational imaging, and image enhancement by connecting optical physics with machine learning.
Role type
Researcher (Optical Systems & Machine Learning)
Builds
Advanced camera systems, computational imaging solutions, and image enhancement algorithms
Domain
Consumer Electronics / Optics / Machine Learning
Deliverable
production ML models
Required skills
Electro-optics, Wave and geometrical optics, Diffraction, Optical image formation, Light–sensor interactions, Machine learning, Computer vision, Deep learning, Python, MATLAB, PyTorch, TensorFlow
Preferred skills
Computational photography, Inverse imaging problems, Joint optimization of optical systems and reconstruction algorithms, Camera systems, CMOS image sensors, Optical simulation tools (Zemax, Code V), Physics-informed learning, Diffusion models
Technologies
PyTorch, TensorFlow, Zemax, Code V
Responsibilities
Model and analyze image formation (optical propagation, diffraction, aberrations, sensor response, noise), Develop ML/DL algorithms for image reconstruction and enhancement, Design and conduct optical experiments and simulations, Collaborate with optical, sensor, and algorithm teams, Document and present research outcomes
Seniority
Mid-Senior, Researcher (2–5 years experience)
