Senior AI/ML Engineer

1 day ago


San Francisco, California, United States Magical Tome Full time
About Magical Tome
Magical Tome is a unified platform for enterprise sellers and account managers. We use cutting-edge models to simplify complex research and strategic planning for sellers. Our system is tuned and customized by a team of experienced sellers, engineers, and researchers.

We design and build Magical Tome in close partnership with our early customers-many of whom are mature enterprise sales orgs. We'll continue to work this way to ensure we build an enduring solution to longstanding problems in the industry.

Our AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team focuses on building a powerful, domain-specific AI that outperforms generic LLMs.

The Role
You will lead the development of ML product development infrastructure, focusing on scaling and innovating in areas of collaboration and versioning, particularly in the context of LLM model training and prompting. Create and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness. Collaborate closely with internal teams to integrate ML solutions and define best practices for software engineering in an AI-driven development landscape. Help build a world-class AI/ML engineering team by recruiting and mentoring teammates. Address and solve open-ended technological challenges in software engineering at scale, especially in the context of AI-driven systems.

Requirements
You have a BS or MS degree in CS, Engineering, AI or a related field. 6+ years experience in software engineering with a focus on ML infrastructure. You have a strong understanding of deep learning AI/ML frameworks or cloud services. Experience with the integration of software engineering with large language models. Ability to navigate and solve open-ended technological challenges in a fast-evolving AI landscape. Excellent collaboration skills, with the ability to work effectively with both internal teams and external partners. Strong problem-solving skills and the ability to handle complex, cross-functional projects.

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