Staff/senior Machine Learning Engineer
2 weeks ago
This team works within the larger ASIC Design team that develops and delivers toolchains that allow customers and partners to compile AI models to run optimally on resource-constraint environments like Neural Processing Units (NPU).
Responsibilities:
- Enhance, maintain and support existing toolchain features, model training pipelines, model zoo and modify model architectures for NPU optimality.
- Develop python packages for supporting toolchain in various phases of compiler workflow.
- Serve as SME within the team to support ML queries for internal & external users.
- Keep management up to speed with trends and innovations in EdgeAI space.
Skills:
- Strong understanding of all aspects of deep learning models including model/block definitions in various frameworks, forward and backward passes, multiGPU training and inference logic, data pre/postprocessing algorithms, weight distribution analysis and debugging
- Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc.
Requirements:
- Master or Ph.
- At least 3 years of commercial software development experience, preferably in C++ or Python.
- Knowledge of model optimization techniques, including but not limited to: Quantization, Tuning, Knowledge Distillation etc.
- Knowledge of Deep Learning frameworks Like TensorFlow, TFLite, Keras and ONNX.
- Good understanding of algorithms like Face Recognition, Pose Estimation, Image Segmentation, Object Detection, Gesture Recognition etc.
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