Algorithm Developer
Summary
Senior Algorithm Developer at Camtek's Visual Layer AI software center in Tel Aviv, researching and building computer vision and deep learning algorithms for large-scale visual data analysis and industrial semiconductor inspection, taking them from research to production. Core stack: Python and PyTorch.
About us
Visual Layer, now part of Camtek, is building its AI Software center in Tel Aviv. Visual Layer's core engine understands visual data at scale: it finds duplicates, outliers, mislabels, and anomalies across millions of images without manual tagging. Camtek builds inspection and metrology systems for the semiconductor industry. Together, we are bringing state-of-the-art AI software products into high-volume industrial inspection.
The research team is small and senior: PhDs and published researchers working next to fast, production-minded engineers. We build, and we ship.
The role
We are looking for a Senior Algorithm Developer to research, develop, and implement advanced Computer Vision and Deep Learning algorithms for large-scale visual data analysis and industrial inspection.
You will work closely with a senior research team, taking algorithms from initial research and experimentation through to production.
Why Join Us?
Work on cutting-edge AI and Computer Vision technologies, alongside an experienced research team,
combining a startup environment with the stability of a global semiconductor company.
Requirements
- MSc or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent research experience.
- 4+ years of hands-on experience in Machine Learning and Computer Vision algorithm development.
- Strong theoretical background in Deep Learning, linear algebra, probability, and optimization.
- Excellent Python and PyTorch skills.
- Experience designing, training, evaluating, and optimizing Deep Learning models.
- Proven ability to take algorithms from research to practical implementation.
- Independent, research-oriented, with strong problem-solving skills.
Advantages:
- Experience with Anomaly Detection, Image Retrieval, Self-Supervised Learning, or Representation Learning.
- Experience in semiconductor, industrial, or medical imaging.
- Publications at leading conferences such as CVPR, ICCV, NeurIPS, or ICML.
- Experience with C++ / CUDA and model optimization.
- Experience with Vision-Language Models (VLMs).
- Experience bringing research algorithms into production.
