Ai/ml Research Scientist jobs in Israel

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

You will manage a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful.

• Develop, own and evolve the research strategy by defining high value focus areas such as cloud misconfigurations, identity threats, workload vulnerabilities and side channel attacks, and ensuring alignment with Orca’s product roadmap and business objectives.
• Lead, coach, and mentor a multidisciplinary research team of cloud-security experts, threat analysts, and software engineers.
• Define metrics for research impact: e.g., number of vulnerabilities discovered, mean time to detection of new threats, number of research-driven product innovations.
• Leverage large-scale data analysis and AI/ML tools to identify trends, automate detection, and enhance cloud threat intelligence.
• Identify and drive discovery of new vulnerabilities, attack techniques or adversary behaviors targeting cloud platforms, containers, serverless, data stores etc.
• Stay current with the threat-landscape, emerging technologies, adversary tactics, and regulatory/compliance changes affecting cloud security.
• Collaborate with product, engineering and R&D teams to ensure research insights translate into concrete features, detection logic, and customer value.
• Manage the research resource planning, tooling/infrastructure for the research function – including sandbox environments, data analysis tooling, and attack simulations.
• Establish partnerships with external research groups, academic institutions, and industry peers to amplify our capabilities and knowledge network.
• Publish research findings (blog posts, white-papers, conference talks) to elevate Orca’s reputation as a cloud-security innovator.
• Influence the broader security community through vulnerability disclosures, advisory publications, industry working groups, and open research collaboration.

• 7+ years in security research, threat intelligence, vulnerability discovery or related roles, with experience and passion for leadership.
• Proven experience in managing a team – mandatory
• Deep technical knowledge of cloud infrastructure (AWS, GCP, Azure), containerization (Kubernetes, Docker), serverless, IAM, data storage, code repositories and associated threat vectors.
• Proven ability to write production-quality code, particularly in Python and Go.
• Deep experience with data systems: SQL and NoSQL databases (e.g., PostgreSQL, BigQuery, Elasticsearch, or similar).
• Experience applying data analysis, machine learning, or AI-assisted tools (e.g., LLMs, automated pattern recognition, or anomaly detection) to security research.
• Proven track record of publishing and presenting research (vulnerability advisories, conference talks, white-papers), and translating research into product/detection capabilities.
• Hands-on ability: understanding of reverse engineering, exploit development, or other cutting-edge security techniques.
• Strong leadership and organizational skills: building and scaling a team, setting vision, driving execution.
• Excellent communication skills: able to share technical insights with engineering, product, senior leadership, and external audience.
• Strategic thinker with strong business acumen and the ability to align research activities with company objectives.

• Experience building or contributing to security-product codebases (e.g. scanning engines, detection frameworks, or telemetry pipelines).
  

Decision scientist Intern specializes in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.

In your role as a Decision Scientist Intern, you will:

• Master PayPal’s data warehouse to help gain insights into consumer risk
• Perform data-driven behaviour research andtransform the results to business cases
• Develop and own data-driven risk decision strategies to support PayPal’s global financial business goals
• Measure performance against KPIs and goals
• Close collaboration with partners and stakeholders in Risk and in PayPal to execute PayPal’s long-term strategy

What do you need to bring-

• Education: student status required Bachelor / Master
• Student status - 2 years remaining before graduation, preferably in one of the following: engineering, computer science, math, physics, statistics, economy, accounting, business, cognitive science, medicine
• Availability for 50% position or more
• Some experience with SQL and Excel
• Some experience with programming / R / Python / BI tools - advantage
• Excellent spoken and written English
• Quick-thinker, fast learner, problem solver
• Team worker, responsible and trustworthy
• People person - ability to communicate and motivate

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

Experience working with Large Language Models

Our Benefits:

Any general requests for consideration of your skills, please

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

We need an experienced engineer with a passion for building, deploying, and scaling our Security AI systems and environment. This is a hands-on role that combines research, devops and data science. The role requires a constant creative trailblazing mindset and novel non-linear thinking. You will develop and enhance complex agentic AI products, architect for scale, and optimize for performance. Additionally, you will be responsible for turning innovative AI concepts into robust, efficient, and reliable services for multiple teams.

Your Impact

• Research, Evaluate and leverage the power of AI and LLMs in cybersecurity
• Perform complex AI evaluations on LLM based cybersecurity features and products
• Implement and optimize advanced AI/LLM systems, including complex RAG pipelines and efficient multi-tool agentic workflows
• Develop and contribute to AI frameworks and services that provide game-changing capabilities
• Transform strategic vision into production-grade reality
• Perform Data-driven research on big data platforms

Your Experience

• 3+ years experience as an engineer / researcher
• Expert-level proficiency in Python
• Hands-on experience with AI systems and agentic AI workflows
• Hands-on LLM experience: AI best practices, prompt engineering, model selection, etc
• An innovator's mindset: You thrive on solving ambiguous, open-ended problems and are driven to build novel solutions where no playbook exists.
• Cybersecurity experience - Big Advantage
• Practical experience with modern MLOps/DevOps tools and practices - Big Advantage
• Experience with XDR/SIEM/EDR/NDR product - Advantage

All your information will be kept confidential according to EEO guidelines.