Machine Learning Engineer, Tome

• 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

Desirable

• 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
• 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