Tome is bringing storytelling into the modern era by constantly narrowing the gap between what creators mean to express and what their audiences experience.

The next innovative leap in our journey is adding the latest AI/ML capabilities to Tome's existing magic. As Tome continues to innovate in the AI domain, we seek a Principal ML Ops Engineer to lead our Machine Learning Operations. This role is key in shaping how we harness the power of large language models (LLMs) and redefine collaboration and engineering practices in an AI-centric environment.

Key Responsibilities:

Drive large impact on Tome's growth by shipping magical creation experiences that customers are eager to use
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.
Act as a bridge between engineering teams, guiding the integration of software engineering with LLM technologies.
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.

Who You Are:

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.

Bonus Points

Experiencing leading AI/ML product initiatives
Publications in applied AI/ML scientific journals
Experience navigating open source/vendor solutions in LLM ops space (Langchain, Pinecone, Gantry, etc)

Tome Perks:

💰 Compensation & Equity

We offer competitive compensation & equity packages. At Tome we want you to feel ownership over the work you do and capitalize on the upside you create in the company.