We are seeking a highly skilled and motivated NLP Researcher for our Ramat-Gan office.
As an NLP Researcher, you will utilize deep learning and cutting-edge NLP methodologies to develop AI-driven products and functionalities to solve complex problems and revolutionize the legal industry.
As our users gain deeper insights into transcription data, they will also be able to utilize powerful tools such as contradiction detection, topic extraction, text segmentation, and retrieval-augmented generation (RAG).
Responsibilities:
Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives
Explore existing approaches to research problems as well as develop new ones
Conduct end-to-end data-driven research and development
Top of FormBottom of Form.
As an NLP Researcher, you will utilize deep learning and cutting-edge NLP methodologies to develop AI-driven products and functionalities to solve complex problems and revolutionize the legal industry.
As our users gain deeper insights into transcription data, they will also be able to utilize powerful tools such as contradiction detection, topic extraction, text segmentation, and retrieval-augmented generation (RAG).
Responsibilities:
Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives
Explore existing approaches to research problems as well as develop new ones
Conduct end-to-end data-driven research and development
Top of FormBottom of Form.
Requirements:
The Ideal Candidate:
3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP
M.Sc. in Computer Science, Software Engineering, Electrical Engineering Ph.D. advantage
Good understanding of DNNs and experience with PyTorch / TF / other platforms
Experience in finetuning and evaluating LLMs – advantage
Team player with excellent communication skills
Proficient in Python development
Self-learner and excited about new domains.
The Ideal Candidate:
3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP
M.Sc. in Computer Science, Software Engineering, Electrical Engineering Ph.D. advantage
Good understanding of DNNs and experience with PyTorch / TF / other platforms
Experience in finetuning and evaluating LLMs – advantage
Team player with excellent communication skills
Proficient in Python development
Self-learner and excited about new domains.
This position is open to all candidates.
