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AI Phone - On-device AI

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AI Phone - On-device AI in Others new

  • Taipei, Taiwan

Responsibilities

  • Evaluate open-weight and commercial 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.
  • Determine which tasks can run locally versus through cloud inference.
  • Integrate local models into AI agent runtimes.

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.
  • Preferred: experience with on-device LLMs.
  • Preferred: experience with Qualcomm QNN, MediaTek NeuroPilot, or similar acceleration frameworks.
  • Preferred: experience with ONNX Runtime, LiteRT, TensorFlow Lite, or ExecuTorch.
  • Preferred: experience with Android NDK, mobile or edge AI deployment, and multimodal model optimization.

Bjak

Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insu...

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