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.
We are expanding the group and looking for a senior applied researcher to join our newly formed research team, focused on expanding our arsenal of Generative AI (GenAI) solutions; applied to malware analysis, explainability, and event correlations; alongside pushing the borders of our existing discriminative malware prediction models in terms of efficacy, robustness and scale. This role offers the opportunity to work on cutting-edge technology and research to enhance cybersecurity as part of a talented group of researchers and engineers. Seeking a resilient, humble, and skillful team player with a relentless "get stuff done" attitude, driven to make impactful changes through methodical research and effective execution.
Office Location:
TLV Office
Region:
Israel
Responsibilities:
* Gain understanding of the unique challenges presented by the cyber-security domain.
* Conduct research and implementation of ML/ DL based solutions for cybersecurity, starting with NLP and Generative AI technologies.
* Collaborate with cross-functional teams to integrate solutions into existing frameworks.
* Own complete feature cycle - from research through solution design to implementation in production
* Participate in code reviews and contribute to the development of best practices within the research team.
* Give oral presentations to both internal and external audiences, and possibly publish research findings in reputable journals.
* M.Sc. / Ph.D. from a leading university in Computer Science, Electrical Engineering, or a related field.
* Minimum 5+ years of experience in AI/algorithm research roles (with at least 2+ years in deep learning).
* Familiarity with state-of-the-art algorithms and models in AI and deep learning, with a passion for staying updated on research advancements.
* Hands-on experience with Large Language Models (LLMs).
* Strong written and verbal communication skills.
* Strong programming skills in Python, and knowledge of professional software engineering practices & best practices for the full software development life cycle (i.e. o.o.d, design patterns, coding standards, code reviews, source control management, build processes, testing, and operations).
* Experience in working with Python and deep learning frameworks such as PyTorch/TensorFlow and other related frameworks as well as data science-related libraries (NumPy, Pandas...)
* Excellent problem-solving skills and the ability to work independently and as part of a team.
* Experience in pushing research from concept to production.
* A great attitude towards pushing novel solutions and continuously improving existing technologies. Advantages:
* Publications in top-tier AI/ML conferences and journals.
* Experience in Retrieval-Augmented Generation (RAG) pipelines.
* Experience with cybersecurity or real-world applications of AI in cybersecurity.
* Experience in working with AWS, unstructured data, binary data and large-scale datasets.
* Experience in working with MLOps/model lifecycle tools.
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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