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MosaicML is seeking a full stack engineer with a focus on frontend development to enhance their generative AI platform, which includes large language models. Responsibilities include designing core features, collaborating with ML researchers and customers, translating requirements into interfaces, and ensuring application reliability and scalability.

The role involves developing the Generative AI platform, focusing on creating applications for the ML model development lifecycle. Responsibilities include implementing core features, collaborating with ML researchers and customers, ensuring application reliability, security, and scalability, and owning product design and implementation.

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 Manager, Solutions Architect, you will lead a pre-sales team, enhancing effectiveness and supporting complex sales cycles in enterprise accounts. Responsibilities include hiring, team mentorship, and fostering a collaborative culture while promoting Databricks' customer-centric approach. You'll focus on business needs, ROI, and brand building in Japan.

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.