Algorithm Developer
Camtek · Tel Aviv-Yafo, Tel Aviv District, Israel · Onsite
Hiring signal
Actively hiring
Posted 3 days ago · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted 3 days ago
- Still listed on the employer's own board
Description
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.
Skills
- Computer Vision
- Deep Learning
- Machine Learning
- Linear
- Python
- PyTorch
- C++
- CUDA
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