Magical Tome - San Francisco, CA
posted 1 day ago
Full-time - Senior
San Francisco, CA
Professional, Scientific, and Technical Services
About the position
Tome is a unified platform for enterprise sellers and account managers, utilizing state-of-the-art models to simplify complex research and strategic planning. The AI/ML team at Tome is responsible for building the core experiences of the product, focusing on developing a powerful, domain-specific AI that surpasses generic LLMs. The team is dedicated to creating innovative AI products for professionals and is looking to expand to meet the growing challenges in this field.
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.
Requirements
- BS or MS degree in CS, Engineering, AI or a related field
- 6+ years experience in software engineering with a focus on ML infrastructure
- 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.
Nice-to-haves
- Publications in applied AI/ML scientific journals
- Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)
