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.
As part of the groups algorithm team, you will have the chance to push the boundaries of our malware prediction models and help establish our foothold in DSPM using state-of-the-art NLP techniques. We are looking for a senior applied researcher who has substantial experience in leading data science efforts from specification, design to model deployment. Solid experience in ML/DL and someone who is excited about complex and exciting problems.
In this role you will take a central part in researching and implementing new ideas as a part of an exceptionally talented group of researchers and engineers.
RESPONSIBILITIES:
Gain understanding of the unique challenges presented by the cyber-security domain
Work with cyber-security specialists, product and security researchers to understand the specificities of the data and fit solutions to it
Expand our algorithmic capabilities in malware detection as well as conduct research and implementation of ML/DL based solutions for data security
Own complete feature cycle - from research through solution design to implementation
Participate in code reviews and contribute to the development of best practices within the research team
M.Sc. / Ph.D. in Electrical Engineering / Computer Science /equivalent
Minimum 5+ years of experience in AI/algorithm research roles (with at least 2+ years in deep learning)
Proficiency in core neural network architectures and NLP techniques, including transformer models such as BERT, GPT, and key methods like transfer learning, fine-tuning, encoder-decoder, and decoder-only architectures
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.p, 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 or other related frameworks, and data science-related libraries (NumPy, Pandas...)
Experience in full-cycle feature ownership, pushing research from concept to production
Passion for innovation
Advantages:
Publications in top-tier AI/ML conferences and journals
Experience in working with unstructured data, binary data and large-scale datasets
Experience with cybersecurity or real-world applications of AI in cybersecurity
Experience in NLP engines for entity recognition
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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