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Mecka AI

Labeled human movement data for AI

Hardware Mobile Software Engineer

Mobile EngineeringConfirmed live in the last 24 hours
Full-timeCA$145k - CA$165k /yrHybrid

About the Job

Requirements

  • 3–4 years of experience building and debugging native mobile applications with connected hardware or media features on real devices, with strong Swift skills for iOS or Kotlin/Java skills for Android.
  • A solid understanding of application lifecycle, concurrency, permissions, background execution, and networking on iOS or Android.
  • Ability to design reliable app state that preserves user progress when connections or processes are interrupted.
  • Hands-on experience profiling and debugging performance, memory, and connectivity on real iOS or Android devices.
  • Ability to build clear user interfaces and automated tests for important app workflows.

Responsibilities

  • Integrate device interfaces and media capabilities into iOS and Android applications.
  • Design status displays and recovery flows so users stay on track through disconnections, permission changes, and interrupted transfers.
  • Improve responsiveness, video performance, memory use, and battery consumption across supported phones.
  • Add diagnostics and work with firmware engineers to reproduce issues and test complete user workflows.
  • Own the application experience from connecting hardware to recording and transferring data.

Desired Qualifications

  • Experience with AVFoundation, Core Bluetooth, Camera2/CameraX, MediaCodec, device connectivity APIs, or native C++ integration.
  • Experience with both iOS and Android, device provisioning, recording apps, or large file transfers.

About the Company

Mecka AI

Labeled human movement data for AI

Mecka AI builds custom, labeled datasets of human movement by recording people performing specific tasks and analyzing the video to create multimodal data for AI and robotics training. Its offerings are data-as-a-service: bespoke, high-quality video data that is anonymized, meticulously annotated, and ready for direct ingestion into machine learning models. The company differentiates itself with a global, on-demand data-collection network and task-focused labeling to supply precise, task-specific datasets for autonomous systems, including humanoid robotics partners. Its goal is to accelerate the development and deployment of embodied AI and autonomous technologies by providing scalable, ready-to-use movement data.

Company size
51-200
Company stage
Series B
Total funding
$120M
Headquarters
New York City, New York
Founded
2025

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