ML Experimentation EngineerOpenkyber • GA, United States
ML Experimentation Engineer
Openkyber • GA, United States
[job_card.variable_days_ago]
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- [job_card.full_time]
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[job_card.job_description]Collaborate with backend teams to integrate with cloud-based model orchestration systems 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. 5-7 years of experience with a Master"s degree or 3+ years with a PhD. Proficiency in Android development using Kotlin and / or Java with 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.
Job Description
We are looking for an experienced 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.
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.
- 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, MediaPipe, and PyTorch Mobile.
- Ensure privacy-first design by performing all data processing and inference strictly on-device.
Responsibilities :
Requirements :
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