What are the responsibilities and job description for the Android AI ML Engineer - On-Device in Mountainview, CA (Onsite) position at Prospance Inc.?
Job Details
Android AI ML Engineer - On-Device | Multinational Manufacturing Client
Build intelligent, privacy-first mobile systems that detect and respond to real-world conditions. Deploy resource-efficient ML models directly on Android devices with secure backend integration.
Key Responsibilities:
- Deploy ML models on Android devices using TensorFlow Lite, ML Kit, MediaPipe, PyTorch Mobile
- Optimize mobile performance for model size, memory usage, and latency
- Integrate apps with backend systems for model management and telemetry
- Implement secure Android development with privacy-first ML design
Requirements:
- Proficiency in Android development (Kotlin/Java) with deep app architecture knowledge
- Hands-on experience with on-device ML frameworks
- Experience integrating Android apps with cloud systems for model lifecycle management
- Strong background in secure Android development and local data protection
- Understanding of privacy-first ML system design
What We Offer:
- Work on cutting-edge on-device AI technology
- Privacy-focused development environment
- Opportunity with established multinational manufacturing leader
Next Steps: Submit your resume highlighting your on-device ML and Android development experience.
#AndroidDeveloper #OnDeviceAI #MachineLearning #TensorFlowLite #MobileAI #PrivacyFirst #MLKit #AndroidEngineering
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $90 - $100
