Staff Machine Learning and Modeling Researcher
San Diego, California, United States of America
USD 179K-268K Senior-level Full Time
Tasks
- Advance model efficiency on device and in cloud
- Collaborate with implementers on proof of concept systems
- Conduct fundamental machine learning research
- Create new models and training methods
- Design and test federated learning methodologies
- Design model compression and quantization methods
- Develop auto machine learning methods
- Implement federated learning methods with privacy and security
- Perform architecture search and kernel graph optimization
- Publish research findings in conference papers
- Validate research concepts in demonstration systems
Perks/Benefits
Skills/Tech-stack
Architecture Search | Automl | Bayesian deep learning | Bayesian optimization | Convolutional Neural Networks | Deep learning | Equivariant Convolutional Neural Networks | Federated Learning | Generative Models | Graph Neural Networks | Graph compilation | Kernel optimization | Machine Learning | Model Compression | Network architecture search | Neural Network | Neural Network Architecture | Neural Networks | Neural network architecture search | Privacy Preservation | Quantization | Reinforcement Learning | Scheduling | Unsupervised Learning
Education
Regions
Countries
States
Cities
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