The AI Incubation team is looking for experienced Machine Learning Engineers to develop core AI technologies for Analog Devices’ future AI products. Our technologies range from generative AI for electronics to deeply embedded AI models in our silicon. We work across various markets and applications to solve problems beyond the reach of traditional algorithms and circuit innovations.
Responsibilities include:
* Contribute to the development of scalable machine learning models using cutting-edge technologies and multi-GPU setups.
* Evaluate, optimize, and deploy models on Analog Devices’ AI Platform, including embedded compute targets.
* Create and maintain reusable functional components in machine learning framework.
* Stay abreast of the latest developments in machine learning tools from reputable groups and experiment with and prototype new machine learning libraries and practices.
Qualifications:
* Master’s degree or equivalent experience.
* 5+ years of full-time industry experience in machine learning.
* Good track record of working with machine learning in production settings.
* Strong background in machine learning and AI, and experience in:
o Training state-of-the-art neural network models (transformers, GANs, etc.) with PyTorch on GPU.
o Familiarity with model execution on different compute targets (CPU, DSP, NPU, etc.).
o Model optimization (pruning, quantization) and deployment on embedded targets.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
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