Domain-Specific AI Developer
1 week ago
Magical Tome is a cutting-edge platform for enterprise sellers and account managers. We utilize state-of-the-art models to simplify complex research and strategic planning for sellers. Our system is finely-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 Magical 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.
The Job
This role involves leading 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. 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.
What You Need
You must 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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