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Manage the IAM team to build a scalable and reliable identity system, oversee product feature delivery, collaborate on product roadmaps, resolve technical debt, and support customer issues.

As a Research Scientist at Databricks, you will advance the scientific frontier in AI by developing new techniques for training large-scale generative AI models. You will work collaboratively to improve model capabilities and ensure their practical application for customers. Staying informed on research literature and focusing on democratizing AI access will be key aspects of your role.

The Software Engineer role involves building and managing reliable data pipelines using Delta Live Tables. Responsibilities include query compilation, distributed query execution, and optimizing resource management. The position seeks to enhance ETL processes through innovative techniques and technologies while delivering customer value.

As a Research Scientist at Databricks, you will advance deep learning techniques, create novel methodologies for training generative AI models, and work collaboratively with a diverse team to improve model capabilities and user accessibility to AI technologies.

Performance engineer at Databricks responsible for evaluating product performance, identifying bottlenecks, setting performance targets, and collaborating with teams to solve performance issues. Will work with the Director of Engineering and a team of engineers to optimize system performance across cloud providers and major areas.

As a GenAI Research Scientist at Databricks, you will advance AI technologies by innovating techniques that enhance large-scale LLMs. You will work collaboratively to develop new methods to improve model capabilities and communicate findings, all while ensuring user success and democratizing AI access.

The GenAI Research Scientist at Databricks will advance scientific frontiers in deep learning by developing new techniques for large language models (LLMs). Responsibilities include staying current with research, creating methods to enhance model capabilities, evaluating these methods, and communicating findings to ensure usability for customers.