Description

At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive and that it's all driven by human intelligence.

Because it takes human intelligence to build and power the systems and solutions that people depend on every day. So we stay curious and make space for diverse points of view. We share what we know and we challenge what's possible.

We're driving progress in some of the world's most important industries - from the bottom of the oceans to the depths of space and cyberspace - and from manufacturing to engineering, we work together to build a future we can all trust.

Imperva, a Thales company, is a globally recognized cybersecurity leader, dedicated to securing data and applications across diverse environments. Our cutting-edge solutions empower organizations to safeguard their most critical assets, ensuring robust protection against emerging threats.

We're proud to be recognized as one ofIsrael's Top 50 High-Tech Companies to Work For in 2024(Dun & Bradstreet) and offer a flexiblehybrid work modelfrom ourTel Aviv office.

We are looking for a Senior Data Scientist with LLM experience to join our Threat Research group. Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.

Key Responsibilities:

• Serve as the technical lead for projects involving LLMs, deep learning, and neural networks focused on cybersecurity applications.
  

• Design, train, fine-tune, and deliver LLMs and advanced deep learning models for tasks such as anomaly detection, threat classification, and automated analysis of security data.
  

• Drive hands-on research from ideation through prototyping to scalable production systems.
  

• Collaborate with product and engineering teams to integrate advanced AI models into Imperva's security solutions.
  

• Analyze complex, high-dimensional security data (including text, logs, network traffic, and more) to identify emerging threats and attack patterns.
  

• Mentor and guide other data scientists and contribute to the team's technical growth.
  

• Represent Imperva in the AI and security communities through thought leadership, publications, presentations, and patents.
  

Requirements:

• 7+ years of hands-on experience in machine learning and deep learning, with a strong focus on neural networks and NLP, including proven work on high-scale, production-level projects.
  

• At least 3 years of proven experience in training, fine-tuning, and delivering LLMs and deep learning models at scale.
  

• Advanced proficiency with Python and leading ML/DL frameworks: PyTorch, TensorFlow, Keras, etc.
  

• Experience with MLOps, scalable model deployment, and optimizing inference for production environments.
  

• Strong background in analyzing large, complex datasets using SQL, Spark, or similar tools.
  

• Track record of delivering impactful AI solutions in real-world settings.
  

• Experience in application/data security is a strong advantage.
  

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  

• Experience with Kubernetes (K8s) and microservices infrastructure is a plus.
  

• Experience with CI/CD practices and the full lifecycle of ML model development, from data preparation to deployment and monitoring, is a strong advantage.
  

• Ph.D. or M.Sc. in Computer Science, Engineering, Math, or another quantitative/technical field is valued, but not required if you have strong relevant professional experience.
  

• Excellent communication, mentoring, and collaboration skills.
  

Thales, champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.