iOS Developer

Job Title: iOS Mobile Engineer Vision, Speech & Heuristic Intelligence

Location: Onsite

Department: Mobile Engineering / Applied AI

Experience Level: Mid to Senior

Reports To: Head of Engineering

About the Role

iOS Mobile Engineer

machine learning and product engineering

Key Responsibilities

• Design, build, and maintain

  iOS applications

  that integrate

  computer vision

  and

  speech recognition

  models.
• Deploy and optimize

  Core ML

  ,

  Vision

  , and

  Speech

  frameworks for real-time inference and low-latency performance.
• Implement

  heuristic systems

  that enhance model outputs e.g., post-processing results, confidence-based decisions, or hybrid rule/model logic.
• Collaborate with AI research and backend teams to integrate

  multimodal ML models

  (vision, speech, and text).
• Work closely with UX designers to translate model capabilities into delightful and efficient user experiences.
• Conduct

  performance profiling

  and

  optimization

  for on-device inference, memory usage, and energy efficiency.
• Contribute to

  CI/CD pipelines

  ,

  testing frameworks

  , and

  automated evaluation

  of ML-integrated features.
• Stay current with the latest Apple ML technologies (e.g., Core ML tools, Create ML, Neural Engine optimizations).

Required Qualifications

• Bachelor's or Master's degree in

  Computer Science, Electrical Engineering, or related field

  .
• 79 years of professional iOS development experience using

  Swift

  and

  SwiftUI/UIKit

  .
• Proven experience with

  Core ML

  ,

  Vision

  , and

  Speech

  frameworks.
• Familiarity with

  ML model conversion and optimization

  for iOS (e.g., PyTorch/TensorFlow ? Core ML).
• Strong grasp of

  heuristics and rule-based systems

  , including hybrid model-rule pipelines.
• Solid understanding of

  mobile performance optimization

  ,

  asynchronous programming

  , and

  memory management

  .
• Experience integrating APIs or SDKs for

  ASR (Automatic Speech Recognition)

  and

  Object/Scene Detection

  .

Preferred Qualifications

• Experience with

  on-device multimodal fusion

  (vision + speech + text).
• Familiarity with

  Apple Neural Engine (ANE)

  optimizations.
• Hands-on experience with

  Metal Performance Shaders (MPS)

  or

  accelerate frameworks

  .
• Background in

  reinforcement learning

  or

  behavioral heuristics

  for user adaptation.
• Understanding of

  privacy-preserving ML

  and

  on-device data pipelines

  .
• Prior experience in building

  assistive

  ,

  AR

  , or

  AI-driven interaction

  applications.
• Strong expertise in SwiftUI, UIKit, Storyboards, Auto Layout, Core Data, Core Graphics, and Core Animation.
• Familiar with performance tuning, memory management, app lifecycle, background threading, and battery/network optimization.

Soft Skills

• Strong problem-solving and analytical skills.
• Collaborative mindset with experience working across AI, design, and product teams.
• Passion for building intelligent, human-centric mobile experiences.
• Self-driven with attention to performance, reliability, and scalability.

Tools & Technologies

• Languages:

  Swift, Objective-C (optional), Python (for model preparation)

• Frameworks:

  Core ML, Vision, Speech, AVFoundation, Combine, SwiftUI

• Tools:

  Xcode, Core ML Tools, MLModelC, Metal, Git, Jira

• ML Ecosystem:

  PyTorch, TensorFlow, ONNX, Core ML Converter