Android AI ML Engineer - Infrastructure
Android AI ML Engineer - Infrastructure
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1 Vacancy
Job Description
The client is seeking an experienced Android AI/ML Engineer - Infrastructure to develop advanced on-device machine learning systems that enable secure adaptive and scalable intelligence across mobile devices. The role emphasizes building intelligent adaptive and privacy-preserving ML systems that operate efficiently within the constraints of mobile environments.
The ideal candidate will have strong experience in designing real-time context-aware inference systems that can respond dynamically to local data patterns and behaviors.
Work Location:Mountain View CA (on-site 4 days a week)
Duration:6-month contract; hybrid role
Pay Range:80/hr to $93/hr
**No C2C resumes are considered**
Responsibilities:
- Design develop and deploy on-device machine learning models optimized for Android ensuring low latency and minimal resource consumption.
- Build robust and scalable ML pipelines using Android-native frameworks such as:
- TensorFlow Lite
- ML Kit (including GenAI APIs)
- MediaPipe
- PyTorch Mobile
- Implement local signal aggregation and real-time pattern recognition logic to enable responsive in-app actions driven by on-device inference.
- Architect systems that support telemetry secure logging and privacy-first feedback collection for monitoring and evaluation.
- Apply model compression and optimization techniques (e.g. quantization pruning distillation) to meet mobile performance constraints.
- Develop secure privacy-first solutions where all data processing and ML inference occur strictly on-device with no external data exposure.
- Enable mechanisms for continuous local learning and model updates using device-resident data and signals without compromising privacy.
- Ensure integration with Androids security model and collaborate with platform and product teams to deploy AI features safely at scale.
Qualifications:
- 5-7 years of experience with a Masters degree 3 years of experience with a PhD
- A candidate with a strong on-device ML experience is highly prioritized and required
- A strong understanding of system architecture resource management and performance tuning.
- Hands-on expertise with on-device ML frameworks including TensorFlow Lite ML Kit MediaPipe and PyTorch Mobile.
- Solid foundation in machine learning and signal processing techniques such as time-series modeling clustering classification and real-time event detection.
- Strong knowledge of mobile data handling and Android security practices including permissions sandboxing and secure data storage.
- Strong experience with model optimization and backend integration
- Understanding of privacy-preserving learning techniques and data governance in mobile environments.
- Familiarity with secure data handling on Android including encrypted storage permissions sandboxing and secure compute enclaves.
- Experience with telemetry systems and evaluation pipelines for monitoring model performance on-device at scale.
- Experience in Android development (Kotlin/Java) is good to have
Desired qualifications:
- Experience building ML-driven mobile applications in domains requiring user personalization privacy or security.
- Understanding of real-time data processing and behavioral modeling on resource-constrained edge devices.
- Knowledge of on-device learning techniques federated learning or personalization methods.
- Prior contributions to systems using federated learning differential privacy or local fine-tuning of models are a plus
- Experience with backend infrastructure for model management (e.g. model registries update orchestration logging frameworks) is a plus.
- Prior work with anomaly detection or behavioral modeling in resource-constrained environments is a plus.
- Experience developing responsive systems capable of monitoring local context and dynamically triggering actions based on model outputs is a plus
- Experience optimizing models for ARM architectures is a plus
**No C2C resumes are considered andavoid Android developers for this role.**
Thank you!
FocusKPI Hiring Team
Founded in 2010 FocusKPI Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley California with an East Coast office in Boston Massachusetts.
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Required Experience:
Manager
Employment Type
Contract
