Senior Deep Learning/Machine Learning Engineer
Found in: Appcast US C2 - 2 weeks ago
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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