At a glance
AI generatedTL;DR
As a senior machine learning engineer on the cutting-edge AI team, you will leverage your extensive experience in frameworks like TensorFlow and PyTorch to develop novel ML architectures and optimize software for specific hardware features. Your day-to-day involves collaborating with hardware teams to co-design systems that enhance inference or training solutions, while also extending existing ML frameworks with new optimizations. You will lead the integration of advanced machine learning techniques into complex products, ensuring efficient model deployment on diverse platforms such as Linux and Android. With a strong background in statistics and probability, you are expected to interact closely with senior leadership and provide technical guidance for experiments aimed at evaluating and refining AI solutions.
Skills
What you'll do
- Develops novel Machine Learning architectures.
- Extends training or runtime frameworks with new features and optimizations.
- Models, architects, and develops advanced ML hardware for inference or training.
- Collaborates with hardware teams on joint design and development projects.
- Leads the application of machine learning techniques into products and solutions.
- Oversees experiments to train and evaluate machine learning solutions.
What we're looking for
- 5+ years experience with Machine Learning frameworks like TensorFlow, PyTorch.
- 5+ years developing embedded systems for ML applications in specific domains.
- 5+ years programming in languages suitable for ML such as Python or C++.
- 5+ years using statistics and probability for machine learning tasks.
- Experience working in large matrixed organizations and interacting with senior leadership.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 595 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.
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