AI Phone - On-device AI / ML Systems Engineer
Bjakcareer · United States
About this role
## About We’re reimagining the phone. AI phones need to be proactive, intuitive, intelligent, and low cost—so intelligence can be adopted worldwide. There are over 5 billion people using everyday apps (email, messaging, notes, tasks, 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 vs. requiring cloud inference. - Partner 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.
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