Data Scientist – Computer Vision (AI Content Detection)

Copyleaks is the trust layer for the AI era. We help educators, publishers and businesses know what’s original, what’s borrowed and what’s AI-generated.

🏆 #2 on TIME’s World’s Top EdTech Rising Stars 2025 | #153 on the Inc. 5000 (1,400% 3-year growth)

The Role

You’ll build and own the models that detect AI-generated and AI-edited images and video, from data and training to evaluation and production release.

What You’ll Do

• Improve detection as new generative models are released.
• Build large-scale datasets, both synthetic and real-world.
• Train and fine-tune large vision models on multi-GPU setups, efficiently.
• Design evaluations under strict false-positive limits and decide when a model is ready to ship.
• Take research ideas to production in short cycles.

Requirements

• 2+ years training deep learning models (industry or graduate research).
• Strong Python and PyTorch.
• Solid computer vision background, including image and video compression and formats.
• Familiarity with SOTA generative and discriminative vision models.
• Multi-GPU training and experience with large, messy real-world datasets.
• Strong evaluation discipline: thresholds, FPR, and per-segment analysis.
• AI-native workflow (Claude Code or similar coding agents).
• Fluent Hebrew and English.

Advantages

• Video models or video transformers.
• ML infrastructure: GCP, Docker, Kubernetes.
• Media forensics or deepfake detection.