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NICE is seeking a Lead Data Science Researcher to join their Research Group in Israel, focusing on high-impact initiatives in AI, particularly in NLP and multimodal domains. The role emphasizes leadership, technical expertise, and collaboration to drive the development of large language models and agentic AI systems for enterprise customer experience solutions.
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Job Summary
Join NICE’s Research Group and shape the next generation of AI for enterprise CX as a Lead Data Science Researcher, owning high-impact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agentic AI systems.
You will combine deep hands-on technical work with leadership, setting direction, mentoring peers, and translating breakthrough ideas into reliable, production-grade capabilities for NICE’s contact center solutions.
Collaborate closely with researchers, engineers, product leaders, and subject matter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, real-world deployments.
Matching Summary
Match Score: 75
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NICE is seeking a Lead Data Science Researcher to join their Research Group in Israel, focusing on high-impact initiatives in AI, particularly in NLP and multimodal domains. The role emphasizes leadership, technical expertise, and collaboration to drive the development of large language models and agentic AI systems for enterprise customer experience solutions.
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Skills & Requirements
Must-have
LLM and agentic AI systems
NLP, Vision, and multimodal modeling
safe, controllable, and scalable AI agents
offline and online evaluation strategies
Nice-to-have
game changers
play to win
ambitious
set the highest standards
Key Requirements
Lead end-to-end research initiatives
Architect, prototype, and evaluate singleagent and multiagent systems
Establish and own best practices for safe, controllable, and scalable AI agents
Act as a technical authority on LLM and agentic systems
Define rigorous offline and online evaluation strategies
Deliver select research components at production quality