AI/NLP Research Engineer

Company Overview: GigaSpaces is developing a pioneering eRAG (Enterprise Retrieval Augmented Generation), a technology that aims to enable LLMs to query structured enterprise data with human-level accuracy. GigaSpaces is on a mission to open up a whole new world of opportunities for enterprises and large organizations in the way they utilize AI solutions over their internal business data. Learn more about our eRAG initiative here.

Position Overview: We are seeking a highly skilled AI/NLP Research Engineer to join our specialized team of deep research efforts in natural language interaction with structured data. The ideal candidate will have a strong academic background in AI and NLP, with a focus on deep learning methods and their theoretical underpinnings. This individual will play a crucial role in driving our research agenda forward with the goal to become a leader in this area focusing on results accuracy and real life use cases.

Our offices are located in Herzliya, and the employment can be flexible - either full time or part, company employee or external consultant.

Responsibilities:

- Lead and conduct advanced research in natural language interaction with structured data, with a focus on choosing and applying NLP Algorithms and models as well as innovate and improve on them to suppress existing best of breed.
- Collaborate closely with cross-functional teams to understand product requirements and translate them into research objectives and experiments.
- Stay current with the latest advancements in AI and NLP research, and apply findings to enhance our technology and products.
- Provide guidance on research methodologies, best practices, and technical skills development.

REQUIREMENTS

- M.A/Ph.D. or equivalent in Mathematics, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 2+ year proven track record of applying NLP techniques to real-world problems, with hands-on experience in developing and deploying AI solutions.
- Extensive experience in NLP research, with a focus on natural language interaction with structured data.
- Strong theoretical background in deep learning, particularly in the area of large language modeling (LLM).
- Demonstrated expertise in Python and relevant machine learning tools.
- Familiarity with statistical modeling/analysis techniques. Knowledge in R, Matlab, or similar tools for statistical analysis is an advantage.
- Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Creative thinker with a passion for pushing the boundaries of AI research and innovation.