עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
A startup company has developed a groundbreaking solution for disease detection through retinal imaging, leveraging advanced AI models. This medical innovation helps prevent blindness and saves lives.
Founded by serial entrepreneurs with a track record of building two AI-focused companies currently traded on NASDAQ.
The company is based in Tel Aviv near a train line and operates in a hybrid model with one work-from-home day.
The company secured $20M in Seed funding. In mid-2024, its product received FDA approval. One of the founders was recognized by Time magazine as one of the top 100 global leaders in AI.
About the role
- Purely research-focused role, developing algorithms in Python.
- Working on AI, Neural Networks (NNs), and implementing statistical models that directly impact algorithm performance.
- Close collaboration with the CEO, a renowned industry expert with a PhD and deep expertise in Machine Learning, Deep Learning, and AI.
- Joining a small team of two in a flat organizational structure, offering significant autonomy.
- Contributing to a product that bridges healthcare and technology.
- Focus on developing new modules and improving existing ones.
- Working with classical Python libraries and Deep Learning frameworks.
- Main algorithmic tasks include Classification, Prediction, Image Processing, and Computer Vision.
Requirements-
- 3+ years of experience in machine learning research (must)
- Broad experience coding in Python, with an emphasis on TensorFlow, standard AI, and specifically deep learning libraries (must)
- Experience with computer vision and image processing technology
- Strong statistical background
- Computer science or mathematics degree
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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