Machine Learning Engineer

About Tome

Tome is a unified platform for enterprise sellers and account managers.

We use state-of-the-art models to simplify complex research and strategic planning for sellers. Tome can 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. Many of us worked on large-scale products at Llama, Messenger, Instagram, and LinkedIn before this.

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 focused on building a powerful, domain-specific AI that outperforms generic LLMs

We’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.

Key Responsibilities

• 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.

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

• Publications in applied AI/ML scientific journals

• Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)