We are partnering with a technology company building AI-enabled smart devices and are looking for an engineer who can bring machine learning directly onto Android-based hardware.
This role focuses on running AI models on-device rather than in the cloud - working close to the Android system layer to deliver real-time intelligence for next-generation IoT products.
If you enjoy solving performance challenges, optimizing ML inference, and working with Android internals, this could be an excellent fit.
What you'll be working on
- Deploying and optimizing machine learning models on Android devices
- Building AI features that process video, audio, and sensor data in real time
- Improving performance, power efficiency, and stability for ML workloads on embedded devices
- Integrating models from data science teams into production Android systems
- Troubleshooting system-level issues such as memory bottlenecks, crashes, or deadlocks
- Contributing to the core platform powering AI-driven IoT products
What they're looking for
- 3+ years of experience developing software for Android platforms
- Experience implementing or integrating machine learning models on mobile or edge devices
- Strong programming experience in Java, Kotlin, or C/C++
- Solid understanding of Android system internals (memory, scheduling, drivers, kernel interactions)
- Experience diagnosing performance and system stability issues
- Familiarity with TensorFlow Lite, PyTorch Mobile, or other mobile ML frameworks
Useful additional experience
- Video or audio processing on Android
- Computer vision or speech recognition models
- Running LLM inference on edge devices
- Model optimization techniques such as quantization, distillation, or conversion for mobile deployment
Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to apply88(@)talentvis.com or click apply!
..We regret to inform that only shortlisted candidates would be notified..
EA License No: 04C3537
EA Personnel Name: Yang Hui Shan, Sherri | EA Personnel No: R22106683
