Staff Software Engineer, On-Device Machine Learning Infrastructure
Tasks
- Coordinate cross functional ML engineering
- Create API roadmap
- Design model deployment and evaluation workflows
- Design resilient scalable systems
- Develop SDKs and developer tools
- Implement engineering practices to improve velocity
- Mentor team members
- Optimize generative AI performance
Perks/Benefits
Skills/Tech-stack
Accelerated inference | Android | Application Programming | Application Programming Interfaces | CPU | Compilers | Data Processing | Development kits | EdgeTPU | Fine Tuning | GPU | Generative AI | Hardware-accelerated inference | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Infrastructure | Model Conversion | Model Debugging | Model Deployment | Model Evaluation | Model Fine-tuning | NPU | Natural Language | Natural Language Processing | Performance optimization | Programming interfaces | Reinforcement Learning | Runtimes | Software Development Kits | Software development | Speech Processing | TPU
Education
Roles
Regions
Countries
States
Cities
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