About the Role

We’re looking for a Mobile AI Engineer with deep experience in native mobile development (iOS or Android) and strong understanding of computer vision, speech recognition, and heuristic-driven systems.

In this role, you’ll design and implement next-generation AI-powered mobile experiences — enabling users to interact through vision, speech, and context. You’ll work closely with AI researchers, backend engineers, and designers to bring real-time intelligence to mobile devices using on-device ML pipelines and hybrid decision systems.

Key Responsibilities

• Build and maintain mobile applications (iOS and/or Android) that integrate vision, speech, and heuristic intelligence.
• Deploy and optimize on-device ML models (e.g., Core ML, TensorFlow Lite, MediaPipe, ML Kit) for real-time inference.
• Implement heuristic and rule-based systems that enhance model reliability, adapt to user context, and improve decision quality.
• Collaborate with AI teams to convert and fine-tune multimodal ML models (vision + speech + text) for mobile deployment.
• Integrate camera, microphone, and sensor data pipelines to support contextual, real-time user interactions.
• Optimize for low latency, battery efficiency, and memory footprint across platforms.
• Partner with designers and researchers to transform AI capabilities into intuitive, human-centric mobile experiences.
• Contribute to CI/CD pipelines, automated testing, and performance monitoring for AI-driven features.
• Stay current with the latest Apple, Google, and open-source AI/ML toolchains for mobile applications.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
• 8+ years of experience in native mobile development — proficient in Swift (iOS) and/or Kotlin/Java (Android).
• Hands-on experience with Core ML, TensorFlow Lite, MediaPipe, or ML Kit.
• Proven background in computer vision (object detection, image segmentation) and/or speech models (ASR, TTS).
• Familiarity with model optimization, quantization, and on-device inference workflows.
• Understanding of heuristic and rule-based systems, and how they can complement ML predictions.
• Strong grasp of mobile performance tuning, asynchronous programming, and data streaming from camera/audio sources.

Preferred Qualifications

• Experience working with multimodal AI systems (combining vision, speech, text, and context).
• Familiarity with ONNX Runtime, Neural Networks API (NNAPI), and Apple Neural Engine (ANE).
• Experience with AR/VR interfaces, assistive technologies, or context-aware applications.
• Knowledge of reinforcement learning or behavioral heuristics for user personalization.
• Background in privacy-preserving ML, federated learning, or on-device analytics.
• Prior contributions to cross-platform AI SDKs or AI feature frameworks for mobile.
• Strong expertise in SwiftUI, UIKit, Storyboards, Auto Layout, Core Data, Core Graphics, and Core Animation.
• Deep understanding of Android architecture components (MVVM/MVI), Android Jetpack libraries, Coroutines, and modern UI principles.
• Familiar with performance tuning, memory management, app lifecycle, background threading, and battery/network optimization.

Soft Skills

• Strong problem-solving ability with a data-informed mindset.
• Excellent communication and collaboration skills across disciplines (AI, UX, product).
• Passionate about building intelligent, adaptive, and ethical AI experiences for mobile users.
• Self-starter with a focus on quality, reliability, and innovation.

Tools & Technologies