Senior Applied AI Researcher
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Job Description
The data science and deep learning group is responsible for providing advanced robust and at scale algorithmic solutions to the challenging and ever evolving cyber threat landscape.
We are looking for a senior applied researcher to join the AIInsights team focused on expanding our arsenal of Generative AI (GenAI) solutions; applied to malware analysis explainability event correlations and more. This role offers the opportunity to work on cuttingedge technology and research to enhance cybersecurity as part of a talented group of researchers and engineers. The cyber domain offers unique challenges from the lack of established benchmarks to defining success metrics and evaluation methods in the absence of clear ground truths perfect for those who thrive on solving novel problems.
We are 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 cybersecurity domain
- Conduct research and implementation of ML/DL based solutions for cybersecurity focusing on NLP and Generative AI technologies
- Collaborate with crossfunctional 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 and possibly publish research findings in blog posts or reputable journals
Requirements :
- 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 stateoftheart algorithms and models in AI and deep learning with a passion for staying updated on research advancements
- Handson 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 as well as data sciencerelated libraries
- Excellent problemsolving 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:
- Experience with cybersecurity or realworld applications of AI in cybersecurity
- Publications in toptier AI/ML conferences and journals
- Experience in RetrievalAugmented Generation (RAG) pipelines
- Experience in working with AWS/GCP unstructured data binary data and largescale datasets
- Experience in working with MLOps/model lifecycle tools
Remote Work :
Yes
Employment Type :
None
Employment Type
None
