Android AI/ML Engineer

Job Title: Android AI/ML Engineer - Infrastructure (AI ML Ops Engineer III)

Job Category: Technical

Position Summary

We seek an experienced Android AI/ML Engineer to design and deploy on-device machine learning systems for mobile devices. This role focuses on creating efficient, adaptive, and privacy-preserving ML systems that perform in real-time within mobile constraints.

Key Responsibilities

• Develop, optimize, and deploy on-device ML models for Android with minimal latency and resource consumption.
• Build ML pipelines using Android-native frameworks (TensorFlow Lite, ML Kit, MediaPipe, PyTorch Mobile).
• Implement real-time pattern recognition and signal aggregation to drive in-app responses.
• Design systems for telemetry, secure logging, and privacy-first feedback collection.
• Apply model optimization techniques (e.g., quantization, pruning) to meet mobile performance constraints.
• Enable local, privacy-preserving learning and model updates on-device.
• Integrate solutions with Android's security model, ensuring safe deployment at scale.
  
  

Required Skills

• Strong experience in Android development (Kotlin/Java) and system architecture.
• Expertise in on-device ML frameworks like TensorFlow Lite, ML Kit, MediaPipe, PyTorch Mobile.
• Solid understanding of machine learning, signal processing (time-series modeling, classification, event detection).
• Knowledge of Android security practices (permissions, encryption, sandboxing).
• Experience with telemetry systems and performance monitoring.
  
  

Preferred Qualifications

• Experience in user personalization, privacy, or security domains.
• Knowledge of on-device learning, federated learning, or local model fine-tuning.
• Experience with backend infrastructure for model management.
• Familiarity with ARM architectures and model optimization.
  
  

Education/Experience

• 5-7 years of experience with a Master's degree or 3 years with a PhD.