On-device AI/ML Systems Engineer

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