AI Phone - On-device AI / ML Systems Engineer

Sobre el puesto

About We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence. There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting. Responsibilities • Evaluate suitable open-weight and commercially available models for on-device execution. • Benchmark model performance on target mobile hardware. • Integrate models into Android applications and system services. • Optimize inference latency, memory consumption and power usage. • Evaluate quantization, compression and model distillation techniques. • Work with CPU, GPU and NPU acceleration. • Evaluate local model capabilities for different workflows. • Build hybrid local/cloud model routing mechanisms. • Identify which tasks can be handled locally and which require cloud inference. • Work with AI agent engineers to integrate local models into the agent runtime. Requirements • Strong ML systems or inference engineering experience. • Experience deploying and optimizing models. • Strong Python and C++ skills. • Understanding of neural network inference. • Experience with model quantization and performance optimization. • Understanding of hardware constraints and inference benchmarks. Nice to have • Experience with on-device LLMs. • Qualcomm QNN, MediaTek NeuroPilot or similar acceleration frameworks. • ONNX Runtime, LiteRT, TensorFlow Lite or ExecuTorch. • Android NDK. • Mobile or edge AI deployment. • Multimodal model optimization.

Publicada el 6 nov 2026