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Vibotek LLC

Android AI/ML Engineer

Vibotek LLC, Mountain View

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Overview


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


Company: Vibotek LLC


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.



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.



Job Details



  • Seniority level: Mid-Senior level

  • Employment type: Full-time

  • Job function: Engineering and Information Technology

  • Industries: IT Services and IT Consulting

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