On-device AI/ML Systems Engineer
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Job Summary
Evaluating and integrating models for on-device execution, the full-time remote On-device AI/ML Systems Engineer will benchmark performance on mobile hardware and optimize inference for Android applications.
Key responsibilities
- Evaluate suitable open-weight and commercially available models for on-device execution
- Benchmark model performance on target mobile hardware and optimize inference latency, memory consumption, and power usage
- Integrate models into Android applications and work with AI agent engineers to incorporate local models into the agent runtime
Required qualifications
- Strong ML systems or inference engineering experience
- Experience deploying and optimizing models
- Strong Python and C++ skills
- Understanding of neural network inference and hardware constraints
- Experience with model quantization and performance optimization
Complete Job Description
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