iOS Developer

We are seeking an experienced iOS Developer with strong knowledge of CoreML, LiDAR, and Apple Neural Engine (ANE) to build high-performance, on-device AI features for a next-generation golf analytics app. The role involves designing and implementing real-time inference pipelines using CoreML and ANE for motion and pose estimation, optimizing models with coremltools, and integrating LiDAR and ARKit for 3D tracking and depth-based angle calculations. Youll handle on-device inference for keypoint detection, club-face regression, frame-based analysis, and temporal stabilization. The goal is to generate accurate metrics such as Face-Stability, Attack Angle, Dynamic Loft, and Spin Loft while ensuring low latency, thermal efficiency, and on-device privacy. Collaboration on outcome simulation using physics-based models and optional TensorFlow Lite integration is also part of the role. You will work closely with ML engineers, data teams, and product stakeholders to deliver optimized, production-ready mobile AI solutions.

The ideal candidate is proficient in Swift and the iOS SDK, with hands-on experience in CoreML, coremltools, TensorFlow Lite, ARKit, LiDAR, and real-time motion data processing. A strong background in on-device ML optimization, performance tuning, and ANE-based acceleration is essential. Experience in computer vision, pose estimation, or sports analytics is preferred, along with strong problem-solving ability and a focus on accuracy.

Additional advantages include familiarity with Metal or GPU compute, exposure to temporal filtering or signal smoothing, and knowledge of golf biomechanics or similar motion-analysis domains.