Job Description: As a Machine Learning engineer you will be responsible for training, testing, and optimizing machine learning models and algorithms to be ported on the edge hardware neural network accelerator used in a range of Amazon devices. You will collaborate closely with a team of machine learning scientists and hardware design engineers to implement solutions in various areas including speech, vision, robotic perception and sensor fusion. Job Responsibilities: Develop processes and software automation to automate mapping of machine learning models onto Amazon device hardware accelerators Analyze machine learning models for deployment in Amazon device hardware accelerators. Work with hardware architects and engineers to improve hardware acceleration for Amazon devices Train and optimize models to work most efficiently on Amazon devices Qualification & Experience: Exposure with image classification, object detection, image segmentation, speech recognition, wake-word detection, image enhancements PhD or MS in Engineering, Technology, Computer Science, Machine Learning. Experience developing with modern programming languages (Python, C/C++), open-source technologies, and Linux. Experience with NLP, Robotics, algorithms and libraries Experience with implementing, training and deploying industry standard machine learning models including MLPs, CNNs, RNNs, and LSTMs Experience with Transformers of graph neural networks is a plus Knowledge of industry standard machine learning frameworks such as Tensorflow, Pytorch, and ability to inspect/modify artifacts generated by these frameworks Knowledge of computer architecture, high performance CPU, GPU, DSPs, hardware accelerators Excellence in technical communication with peers and non-technical cohorts Motivated Independent learner and team player Job Details: Company: Amazon Vacancy Type: Full Time Job Location: Sunnyvale, CA, US Application Deadline: N/A Apply Here getyourvacancy.com
Latest Jobs 2025 | Get Your Vacancy