# Senior Research Scientist, AI & Data Systems at Eon

Senior Research Scientist, AI & Data Systems at Eon in Tel-Aviv, Israel. Posted October 19, 2026.

- Company: Eon
- Location: Tel-Aviv, Israel
- Experience: 5+ years
- Posted: 2026-10-19
- Apply: https://job-boards.eu.greenhouse.io/eonio/jobs/5009485101
- Source: https://jobmagic.ai/jobs/senior-research-scientist-ai-data-systems-eon-qsfm4w

## Requirements

- PhD in Computer Science or a closely related field. The degree must be completed; candidates currently pursuing a PhD will not be considered.
- A deep, sustained research track record in at least one of the relevant areas listed above.
- Publications in strong peer-reviewed conferences, such as VLDB, SIGMOD, ICDE, SIGIR, CIKM, FAST, OSDI, USENIX ATC, ACL, EMNLP, NeurIPS, ICML, ICLR, ICSE, or FSE, depending on the research area.
- At least 5 years of industry research experience, including work that has been deployed in production.
- Hands-on experience with LLMs, including prompting, fine-tuning techniques such as LoRA, model evaluation, and running batch inference on GPUs.
- Strong Python skills and the ability to independently design, implement, and execute end-to-end experiments.
- Excellent written English and the ability to communicate complex research findings clearly.

## Description

 

### About Eon

Eon is building the next generation of cloud data protection, transforming cloud backups into accessible, searchable, AI-ready data assets. We combine advanced data systems, storage technologies, and AI to help enterprises unlock the value of their backed-up data.

### The Role

As a Senior Research Scientist, AI & Data Systems at Eon Research, you will conduct applied research at the intersection of AI, data systems, and large-scale storage. Working closely with Assaf Natanzon, VP and Chief Architect, you will explore challenging technical problems, publish research in leading peer-reviewed venues, file patents, and translate research breakthroughs into production-ready product capabilities.

This role is ideal for a researcher with a strong publication record, deep expertise in a relevant research area, and experience bringing research into real-world products.

### Research Areas

- **Query Processing and Query Engines:** Query optimization and execution over columnar and lakehouse formats, including Apache Iceberg and Parquet, as well as approximate query processing using sketches and synopses.

- **Storage Systems:** Deduplication, compression, and data layout optimization for large-scale storage.

- **Data Integration and Discovery:** Entity resolution, schema matching, table joinability, and data discovery, including the use of LLMs as judges.

- **Information Retrieval and RAG:** Retrieval-augmented generation over enterprise data, including emails, documents, and databases.

- **LLM Evaluation and Benchmarking:** Evaluation frameworks and benchmarks for LLM agents working with enterprise data.

- **LLMs for Software Engineering:** CI failure diagnosis, automated debugging, and program repair.

### Requirements

- PhD in Computer Science or a closely related field. The degree must be completed; candidates currently pursuing a PhD will not be considered.

- A deep, sustained research track record in at least one of the relevant areas listed above.

- Publications in strong peer-reviewed conferences, such as VLDB, SIGMOD, ICDE, SIGIR, CIKM, FAST, OSDI, USENIX ATC, ACL, EMNLP, NeurIPS, ICML, ICLR, ICSE, or FSE, depending on the research area.

- At least 5 years of industry research experience, including work that has been deployed in production.

- Hands-on experience with LLMs, including prompting, fine-tuning techniques such as LoRA, model evaluation, and running batch inference on GPUs.

- Strong Python skills and the ability to independently design, implement, and execute end-to-end experiments.

- Excellent written English and the ability to communicate complex research findings clearly.

### Nice to Have

- Experience in storage, backup, data protection, or enterprise data management.

- Research or engineering experience with query engines, lakehouse formats, or approximate query processing.

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Patents or a track record of translating research into intellectual property.

- Experience working with enterprise data sources, including Microsoft 365, email, documents, and databases.

### What You'll Do

- Lead applied research at the intersection of AI, data systems, information retrieval, and large-scale storage.

- Identify and investigate challenging technical problems related to making enterprise backup data more searchable, accessible, and useful for AI applications.

- Design, implement, and evaluate research ideas through hands-on experimentation, prototyping, and benchmarking.

- Develop novel approaches to query processing, data discovery, entity resolution, retrieval, and LLM-powered systems.

- Collaborate closely with Assaf Natanzon, VP and Chief Architect, and Eon's engineering and product teams to translate research findings into production-ready capabilities.

- Publish research in leading peer-reviewed conferences and contribute to patent applications.

- Build evaluation frameworks and benchmarks to measure the quality, accuracy, and performance of AI systems operating on enterprise data.

- Stay current with advances in AI and data systems, identify promising research directions, and turn them into practical innovations for Eon's platform