Computer Vision / Deep Learning Research Engineer

Position Overview

We are seeking an experienced Computer Vision & Deep Learning Engineer to drive development of multimodal imaging algorithms at PrediX, a precision‑oncology startup building an AI‑driven “virtual biopsy” using radiology and digital pathology. You will join a small, high‑impact R&D team to research, develop, and deploy SOTA models for multimodal learning and retrieval.

Location: Ramat‑Gan (Hybrid)

Department: R&D

Reports to: CTO

Start date: Immediate

Key Responsibilities

Hands‑On Research and Development

• Design, develop, and optimize multimodal (MRI/CT-WSI) models: contrastive learning, representation learning, and retrieval.
• Build segmentation and ROI pipelines for radiology and digital pathology data (preprocessing, normalization, and quality control).
• Run controlled experiments, fine‑tune foundation backbones, analyze errors, and improve robustness and generalization.
• Establish clear metrics and benchmarks, build evaluation suites and dashboards.

Qualifications

Educational Background

• M.Sc. or Ph.D. in Computer Science, Electrical/Biomedical Engineering, Data Science, or related field with focus on computer vision / deep learning.

Experience

• 3+ years hands‑on developing and shipping deep learning models (medical imaging preferred).
• Track record in high‑impact computer vision projects.
• Familiarity with regulated environments is a plus.

Technical Skills

• Strong PyTorch experience with CNN/ViT/transformer architectures and segmentation.
• Hands-on experience and ability to develop new models for contrastive/self‑supervised learning, retrieval systems, and evaluation.
• Innovative ability to design and scale practical data pipelines for medical imaging is advantageous.
• Solid engineering: Python (C++ nice‑to‑have), version control, containers, cloud infrastructure (AWS or similar), and basic MLOps.

Soft Skills

• Team player with excellent collaboration skills.
• Strong problem‑solving and ownership.
• Clear written/oral communication.

Why Join PrediX?

Join a mission‑driven team advancing non‑invasive cancer diagnostics. Your work will shape core technology that aims to spare biopsies, speed treatment decisions, and bring precision oncology to the clinic.