Responsibilities Create generative networks ground up, which may include building on GANs, VAEs, Diffusion, Transformers, etc. Optimize, adapt, or fine-tune existing computer vision algorithms for various tasks like transfer learning, object re-identification, monocular depth estimation, etc. Implement/Adapt existing Joint learning paradigms involving speech and video data. Collaborate with the ML engineering team to deploy trained models into the application layer. Lead projects, mentor junior researchers, and stay updated with the advancements in computer vision, especially generative solutions. Requirements 4+ years of experience in machine learning and computer vision, with a focus on generative networks. Advanced degree in Computer Science, Electrical Engineering, or a related field. Proficiency with a deep learning framework (PyTorch) Experience with image/speech data processing and augmentation techniques. Strong programming skills in Python(must have) and C++(optional) Deep understanding of CNNs, VAEs, GANs, etc. Experience in building production quality. (Working with cloud platforms is a plus. ) This job was posted by Subrina Ahoy Lai from NeuralGarage. Show more Show less

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Machine Learning Engineer