Top 27002 Scale master Jobs

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Android AI/ML Engineer

Vibotek LLC
Mountain View, CA

Quick Apply

Job Details

Contract

Qualifications

AI models
Digital signal processing
Kotlin
Time series models
Android SDK
Mobile product development
IT system monitoring
Encryption
System design
AI platforms (beyond public GPTs)
Android
Computational framework
System design for system development
Classification analysis
Machine intelligence
Mobile application development
Time Series Analysis
Machine learning libraries
Machine learning frameworks
System security
System performance monitoring

Full Job Description

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.

Quick Apply

Refine Your Search

scale master jobs

Android AI/ML Engineer

Senior Evidence to Scale Manager

Permit Manager

Staff Materials Scientist – Thin Film Coatings

Senior Technical Advisor - Protection and Safeguarding in Emergencies

Helix Data Creator

Scrum Master

Scrum Master

Director of Enterprise Sales___(Semiconductor)

High School Math Teacher

Commercial Launch & Deployment Manager

Industrial Project Controls Specialist (Scheduler/EVM)

CNC Programmer (5 axis)

Distinguished Architect, AI

SVP Engineering

Senior Utility Engineer Water/Wastewater

Sales Representative & B2B Business Development

Senior Structural Engineer (High Tech Sector)

Data Analyst — Game Analytics (Chinese Mandarin Speaker)

Senior Program Manager

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