NLP Data Science Researcher

About Us

JOB DESCRIPTION

Verint is a global leader in Customer Experience (CX) Automation, helping iconic brands deliver measurable AI-driven business outcomes. With 30+ years of experience, our Open Platform and AI-powered solutions support :10,000 organizations across 175+ countries, spanning industries such as financial services, healthcare, utilities, technology, and government.

The Verint Israel site in Herzliya is our largest R&D center. We combine the strength of a global organization with the agility of a dynamic local team. Our hybrid work model moves fast and leverages cutting-edge technologies including NLP, Machine Learning, Speech & Text Analytics, Generative AI, and Agentic AI architectures to improve the daily lives of millions worldwide.

About The Role

Join our Analytics Research team and help shape next-generation Customer Engagement and Interaction Analytics solutions. You will design, research, and productionize advanced NLP and agent-based AI capabilities that autonomously reason, plan, and act across complex customer interaction workflows.

You’ll work end-to-end—from foundational research and rapid experimentation to scalable deployment—building systems that combine LLMs, tools, memory, and orchestration to deliver trusted, enterprise-grade AI used by customers worldwide.

Responsibilities

What You’ll Do

• Research, design, and develop state-of-the-art NLP, LLM, and Agentic AI systems

• Build and evolve autonomous and semi-autonomous agents for interaction analysis and customer engagement use cases

• Advance analytics capabilities using reasoning, planning, tool use, and multi-agent collaboration

• Tackle complex research problems over large-scale conversational and multimodal data

• Collaborate on broader analytics initiatives, including scalable ML systems and data-intensive pipelines

• Design and run experiments, evaluate agent behavior and model quality, and communicate results clearly

• Take solutions from prototype to production, balancing research innovation with robustness and performance

Qualifications

What We’re Looking For

• M.Sc. or Ph.D. in Computer Science, AI, Data Science, or equivalent practical experience

• 2–3+ years of industry experience in applied ML, NLP, or AI research

• Strong foundation in Machine Learning, Deep Learning, and modern LLM-based architectures

• Hands-on experience with PyTorch and/or TensorFlow

• Proven experience with NLP and transformer-based models

• Familiarity with or strong interest in Agentic AI concepts (tool use, planning, memory, orchestration, evaluation)

• Strong problem-solving skills and algorithmic thinking

• Excellent programming abilities and experience delivering production-quality systems

• Proven ability to design experiments, analyze results, and present insights

• Strong collaboration and communication skills

Nice to Have

• Experience building or evaluating LLM-based agents or multi-agent systems

• Experience owning full ML lifecycles in production environments

• Familiarity with large and complex codebases and system-level design

• Experience with Linux/Windows, cloud platforms (AWS, Azure), and scalable AI infrastructure

• Background in speech analytics, conversational AI, or customer interaction data

Why Verint?

At Verint, your ideas matter. You’ll join a research-driven culture that values innovation, ownership, and impact. We encourage experimentation with emerging paradigms—like agentic AI—while giving you the support to turn research into production systems that solve meaningful, real-world problems.

So, what do you say? Let’s talk.