Tuesday , October 4 2022

Amazon Prime Jobs – Machine Learning Engineer

Website Amazon

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

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