4 Convolutional Neural Network Jobs with Hybrid or WFH Options

loss functions, optimisers, metrics. Able to discuss and apply latest state-of-art deep learning/computer vision papers. Experience in developing Transformer and CNN -based applications. Proven contribution to design, development and scaling of high quality, practical reliable software. Enthusiastic about working in a fast-paced engineering team. Develop … to ensure quality assurance in delivery of software and rapid resolution of bugs Applied Computer Vision Data Scientist - - Desirable skills: Experience using Transformer or CNN neural networks for real-time multiple object detection & localisation, tracking, segmentation, pose estimation or similar computer vision tasks. Experience modifying or creating novel Transformer … and CNN architectures to deliver increased classification and detection & localisation accuracy and in optimising performance. Work with high/low resolution aerial or satellite images. SCRUM or other agile/rapid development methodology experience. Kubeflow, Docker, Kubernetes experience. Worked with GANs, familiar with synthetic data generation/synthetic imagery. Familiarity more »

industry experience working on system performance analysis for NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor more »

industry experience working on system performance analysis for NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor more »

Primary Responsibilities Working closely with the modelling and performance team to apply ML models to investigate simulations and carry out performance analysis on NPUs (Neural Processing Unit). Required Experience Masters or PhD in … Computer Science, Electronic Engineering or similar. At least 4 years of industry experience working with ML models for system performance analysis. Strong background with CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at leading NPU, CPU more »