Audria is a voice-first personal computing device worn discreetly behind the ear. It is designed to be proactive, understands the user’s conversations and provides the user with context-aware personal AI assistance. We’re building something fundamentally new — a privacy-first, voice-first, intelligent system that lives on your device and adapts to you. It requires a blend of machine learning , systems programming , and iOS craftsmanship . Role : iOS Engineer Salary : 12 LPA - 24 LPA fixed (Based on experience) Location : Noida (on-site), 5 days a week Joining date : As soon as possible- July What We’re Looking For Strong iOS fundamentals , especially with Swift , SwiftUI , and modern concurrency (e.g., async/await). Deep comfort working with: AVAudioEngine, Core ML, Core Audio, and low-level iOS APIs. Deep knowledge in: Real-time, low-latency pipelines involving audio , ML inference , and system integration . Familiarity with the on-device ML ecosystem : Core ML, MLX, Metal Performance Shaders (MPS), or any iOS-compatible LLM inference libraries (like llama.cpp or whisper.cpp). Appreciation for systems-level thinking : performance, battery, memory, privacy, background execution, and constraints of mobile hardware. A self-directed builder: able to define their own roadmap, evaluate tradeoffs, and optimize for user experience without needing a spec . Nice to Have Experience working on voice-first or ambient interfaces . Past work with transformers , tokenizers , or LoRA-style adapter architectures . Knowledge of audio classification , VAD , or speech recognition , especially under constrained environments. Contributions to open-source ML or mobile infrastructure projects. Experience integrating or working with C/C++ code in iOS projects (via bridging, SPM, or other methods). The main trait we are looking for when hiring is how fast you can learn new things and execute, as this field is moving fast (Apple Intelligence Foundation Models Framework). We are looking for people who keep up with the latest research and are curious to execute on something promising and challenging.
