• Android AI ML Engineer - On-Device

    FocusKPI Inc. (Mountain View, CA)


    FocusKPI is  seeking an Android AI/ ML Engineer - On-Device to join one of our clients, a high-tech SaaS company.

     

    The client is looking for a highly capable Android AI/ML Engineer - On-Device to help build intelligent, privacy-first mobile systems that can detect, respond to, and learn from dynamic real-world conditions. This role involves deploying resource-efficient ML models directly on Android devices, combined with backend integration for model management, telemetry, and secure update delivery.

     

    The ideal candidate has a strong background in on-device intelligence and cloud-integrated systems, especially in applications that require responsiveness, adaptability, and strict privacy controls.

     

    Work Location:  Mountain View, CA (on-site 4 days a week)

     

    Duration: 6-month contract; hybrid role

     

    Pay Range: 80/hr to $93/hr

    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

    + Build robust and efficient on-device data pipelines and inference mechanisms for real-time decision-making.

    + Apply model optimization techniques such as quantization, pruning, and distillation for performance on mobile hardware.

    + Ensure privacy-first design by performing all data processing and inference strictly on-device.

    + Collaborate with backend teams to integrate with cloud-based model orchestration systems (e.g., MCP or similar) for:

    + Model versioning, delivery, and remote updates

    + Telemetry collection and model performance monitoring

    + Rollout and A/B testing infrastructure

    + Implement secure local storage, encrypted data handling, and telemetry pipelines that meet privacy and compliance standards.

    + Support adaptive model behavior through on-device fine-tuning, personalization, or federated learning workflows.

    Qualifications:

    + 5-7 years of experience with a Master's degree, 3+ years of experience with a PhD

    + A candidate with a strong on-device ML experience is highly prioritized and required

    + A deep understanding of app architecture, background processing, and system APIs.

    + Hands-on experience with on-device ML frameworks: TensorFlow Lite, ML Kit, MediaPipe, PyTorch Mobile.

    + Solid understanding of mobile performance optimization, including model size, memory usage, and latency.

    + Experience with signal processing and real-time ML logic

    + Proven ability to integrate Android apps with backend/cloud systems for: Model lifecycle management (delivery, updates, rollback), Logging, telemetry, and analytics

    + Experience with secure Android development, including permissions, sandboxing, encryption, and local data protection.

    + Strong understanding of privacy-first ML system design and local-only data processing.

    + Experience in Android development using Kotlin and/or Java is nice to have

    + Documentation is essential

    Desired qualifications:

    + Experience working with model orchestration platforms (e.g., MCP, Vertex AI, SageMaker, or internal tools).

    + Familiarity with federated learning, on-device personalization, or differential privacy.

    + Experience with anomaly detection and behavioral modeling

    + Experience with secure telemetry and backend integration

    + Background in building real-time, data-driven features in mobile apps at scale.

    + Model optimization for ARM/mobile hardware

    + Familiarity with cloud infrastructure (e.g., GCP, AWS) for ML model deployment and monitoring.

    + Previous work in high-sensitivity domains such as identity, privacy, mobile security, or regulated industries is a plus.

     

    No C2C resumes are considered, and avoid 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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