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Senior AI Research Scientist, Data Systems
Not specifiedFull-timeArtificial Intelligence ResearchData Infrastructure
Conduct applied research spanning AI, data systems, information retrieval, and large-scale storage. Develop and evaluate research ideas, publish findings, and partner with engineering and product teams to bring research into production capabilities.
Responsibilities
- Lead applied research in AI, data systems, information retrieval, and large-scale storage
- Investigate ways to make enterprise backup data more searchable and useful for AI applications
- Design, implement, and evaluate research through experiments, prototypes, and benchmarks
- Develop approaches to query processing, data discovery, entity resolution, retrieval, and LLM-powered systems
- Collaborate with engineering and product teams to translate research into production-ready capabilities
- Publish research and contribute to patent applications
- Build evaluation frameworks and benchmarks for AI systems operating on enterprise data
- Track advances in AI and data systems and identify promising research directions
Requirements
- Completed PhD in Computer Science or a closely related field
- Sustained research record in at least one relevant area, with publications in strong peer-reviewed conferences
- At least 5 years of industry research experience, including work deployed in production
- Hands-on experience with LLM prompting, fine-tuning methods such as LoRA, model evaluation, and batch inference on GPUs
- Strong Python skills and ability to independently design, implement, and run end-to-end experiments
- Excellent written English and ability to communicate complex research clearly
Nice to have
- Experience in storage, backup, data protection, or enterprise data management
- Experience with query engines, lakehouse formats, or approximate query processing
- Experience with AWS, Azure, or GCP
- Patents or experience translating research into intellectual property
- Experience with enterprise data sources such as Microsoft 365, email, documents, and databases