The first Cyber security company to apply Deep Learning to Cyber security is looking for a Threat Intelligence Researcher for its data science group. An innovative start-up that has a unique and game-changing software solution to protect Fortune 500 End-Point, applications and Storage clents against Zero Day & APT cyber-attacks. This is an incredible opportunity to get in early at a Pre-IPO Cyber security company that is poised to do huge things! We're on a mission to disrupt the Cyber security market and the time is NOW! Your Impact In this role you will be responsible for model life cycle from dataset creation to model testing and choosing. You will identify, analyze, and collect malware samples, generate datasets that lay the foundation for our deep learning models. The role involves hands-on responsibilities, working closely with research, development and product teams. It requires multitasking in a fast-paced environment with high-quality, accurate, and timely deliverables
Office Location:
TLV Office
Region:
Israel
Responsibilities:
Build and engineer mass-scale datasets used for training deep learning models, based on a solid understanding of the threat landscape. Identify, collect, and analyse malware from a wide range of sources, ranging from customer environments to threat intelligence feeds and automated analysis tools Analyze large scales of malware datasets based on OSINT Working side-by-side with deep learning engineers as a Cyber security domain expert on research projects. Conduct in-depth multi-disciplinary cyber- data Science research.
Why Work With Us::
We are committed to creating an excellent Employee Experience. We offer competitive salaries, a generous benefits package among great culture. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous with a real passion for technology, we want to hear from you.
Office Location:
TLV Office
Region:
Israel
Responsibilities:
Build and engineer mass-scale datasets used for training deep learning models, based on a solid understanding of the threat landscape. Identify, collect, and analyse malware from a wide range of sources, ranging from customer environments to threat intelligence feeds and automated analysis tools Analyze large scales of malware datasets based on OSINT Working side-by-side with deep learning engineers as a Cyber security domain expert on research projects. Conduct in-depth multi-disciplinary cyber- data Science research.
Why Work With Us::
We are committed to creating an excellent Employee Experience. We offer competitive salaries, a generous benefits package among great culture. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous with a real passion for technology, we want to hear from you.
Requirements:
BSc in Computer Science / software engineer or any other equivalent bachelors degree.
Proficient hands on Python coding skills.
Familiarity with Unix environments.
Experience in SQL and relational databases
Experience in working with large datasets in a distributed computing environment such as Pandas or PySpark.
Familiarity and understanding of hacking techniques, novel malware families and campaigns, common attack vectors (Windows – Must, MacOS/ Android – Advantage)
Experience with collecting, analysing, and interpreting data from multiple sources.
Zest for efficiency, process automation and data logics.
Methodological approach and critical thinking.
Team player with passion for technology, autodidact, independent, innovative, and able to multi-task.
BSc in Computer Science / software engineer or any other equivalent bachelors degree.
Proficient hands on Python coding skills.
Familiarity with Unix environments.
Experience in SQL and relational databases
Experience in working with large datasets in a distributed computing environment such as Pandas or PySpark.
Familiarity and understanding of hacking techniques, novel malware families and campaigns, common attack vectors (Windows – Must, MacOS/ Android – Advantage)
Experience with collecting, analysing, and interpreting data from multiple sources.
Zest for efficiency, process automation and data logics.
Methodological approach and critical thinking.
Team player with passion for technology, autodidact, independent, innovative, and able to multi-task.
This position is open to all candidates.
