Our client is looking to fill the role of Senior Deep Learning/Machine Learning Engineer. This role will be hybrid and based out of the Santa Clara office.
Responsibilities:

• Training, and deploying deep learning models for a variety of DNN tasks.
• Optimizing and compiling models for different runtime agents including OpenVino, ONNX runtime, TensorRT, TFLite runtime, and HW.
• Work with open-source custom models and datasets, and port open-source models to our supported runtimes.
• Benchmarking the ported models on different runtimes and writing quality assurance code for maintenance.
• Document and maintain all the developed models.
• Training and deploying deep learning models for a variety of DNN tasks.
• Optimizing and compiling models for different runtime agents including OpenVino, ONNX runtime, TensorRT, TFLite runtime, and our HW.
• Work with open-source custom models and datasets, and port open-source models to supported runtimes.
• Benchmarking the ported models on different runtimes and writing quality assurance code for maintenance.
• Document and maintain all the developed models.

Required Qualifications:

• Bachelor's degree or equivalent practical experience.
• At least 2 years' experience in ML development: (a) training networks locally/on cloud and/or (b) deploying models in the production environment.
• Experience with Pytorch
• Experience with software development and debugging in Python.
• Experience with applied machine learning.
• Ability to write ML model definitions and training loops.
• Familiarity with common (vision and natural language processing) datasets and how to use them.
• Experience with Git
• Experience with Vision models e.g. Yolov8.
• Familiarity with machine learning hardware optimization methods such as quantization and pruning.
• Familiarity with TFLite, ONNX or Torch Script
• Familiarity with Runtime agents like OpenVINO, TensorRT, TFlite runtime

If you meet the required qualifications and are interested in this role, please apply today.
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