AI/ML Infrastructure Engineer

1 day ago


San Francisco, California, United States Magical Tome Full time
About Magical Tome

Tome is a unified platform for enterprise sellers and account managers. Our mission is to simplify complex research and strategic planning for sellers by leveraging state-of-the-art models.

We use our expertise in AI/ML to surface the most actionable knowledge about a customer from within internal systems as well as from public information across thousands of data sources. Our system is tuned and customized by a team of experienced sellers, engineers, and researchers who have worked on large-scale products at top tech companies.

We design and build 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.

About the Role

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

As a key member of our AI/ML team, 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. You will create and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness.

You will collaborate closely with internal teams to integrate ML solutions and define best practices for software engineering in an AI-driven development landscape. Additionally, you will help build a world-class AI/ML engineering team by recruiting and mentoring teammates.

Key Responsibilities:
  1. Lead the development of ML product development infrastructure.
  2. Create and maintain a platform that will be used by multiple teams working on ML products.
  3. Collaborate closely with internal teams to integrate ML solutions.
  4. Help build a world-class AI/ML engineering team.
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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