iOS Developer (CoreML / ML Integration)

Role: iOS Developer (CoreML / ML Integration).

Details:
- Format: Full-time, Remote.
- Location: Remote (Global).
- Level: Middle / Senior.
- English: Intermediate+ (for working in an international team).

About the Role:
- We are looking for an iOS Developer to help integrate ML models into mobile applications. This is not a research position; you will not be training models from scratch. Your main focus will be converting pre-trained ML models to CoreML, deploying them on-device, and writing pre/post-processing code.

Responsibilities:
- Convert ML models (TensorFlow, PyTorch, etc.) into Apple's CoreML format (.mlmodel).
- Integrate and utilize pre-trained ML models in iOS applications.
- Write pre-processing and post-processing code for data (images, tensors, arrays, normalization, etc.).
- Work with numpy and Python to prepare, validate, and debug models.
- Optimize on-device ML inference performance on iOS (when possible).
- Collaborate with the ML team / researchers to bring models into production.

Requirements:
- Commercial experience in iOS development with Swift.
- Hands-on experience with Apple CoreML: model conversion, integration, and usage in real-world projects.
- Basic knowledge of numpy and Python.
- Understanding of ML model formats and the pipeline (training, conversion, mobile inference).
- Experience with Vision, Natural Language, or Create ML is a plus.
- English level sufficient for daily communication and calls.

Nice to Have:
- Experience with TensorFlow Lite, ONNX, or PyTorch Mobile.
- Basic understanding of ML fundamentals (no deep research expertise required).
- Experience with model optimization (quantization, pruning, compression).
- Public GitHub projects featuring CoreML.

Conditions:
- Full-time employment.
- Fully remote.

Location: Remote - Anywhere

Skills required for this job:

• Machine learning
• NumPy
• Optimization models
• PyTorch
• Python
• Swift
• TensorFlow
• iOS development