AI Engineer - Medical OCT & Longitudinal Imaging

scaleiq; Santa Clara (CA); On-site; USD 120,000 - 180,000; Part time

Job summary

ScaleiQ is seeking an AI Engineer on a contract basis with deep computer vision experience focused on OCT imaging and high-dimensional longitudinal data.

You will design, train, and optimize CNNs for medical image analysis, develop scalable data pipelines, and collaborate with quantum teams to integrate classical CV with hybrid quantum methods. This role offers potential growth as the company advances toward seed funding.

Qualifications

• Experience building CNNs for medical imaging, especially OCT.
• Experience handling high-dimensional or longitudinal imaging data.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow or similar).
• Ability to design scalable training pipelines and reusable components.

Responsibilities

• Design, train, and optimize CNNs for OCT-based medical image analysis.
• Work with high-dimensional, longitudinal imaging data and patient-level tracking.
• Build reusable libraries, pipelines, and tooling for data preprocessing, model training, and evaluation at scale.
• Develop training strategies for very large OCT datasets, including augmentation and distributed training.
• Collaborate with scientific and quantum teams to integrate CV with hybrid quantum methods.

Skills

CNNs

Computer vision

OCT imaging

Longitudinal data

Python

PyTorch

TensorFlow

Training pipelines

Large-scale image datasets

Self-supervised learning

Foundation models for imaging

Quantum machine learning

Tools

PyTorch

TensorFlow

Job description

ScaleiQ is seeking an AI Engineer on a contract basis with deep computer vision experience focused on OCT imaging and high-dimensional longitudinal data.

You will design, train, and optimize CNNs for medical image analysis, develop scalable data pipelines, and collaborate with quantum teams to integrate classical CV with hybrid quantum methods. This role offers potential growth as the company advances toward seed funding.