Machine Learning Infrastructure Lead

2 days ago


San Francisco, California, United States Magical Tome Full time
Ambitious Project at Magical Tome
Magical Tome aims to revolutionize the sales process with cutting-edge AI/ML technology. Our team is looking for a highly skilled engineer to help drive innovation in machine learning infrastructure. As a senior AI/ML engineer, you will 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. Your responsibilities will include creating and maintaining 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.

Your Qualifications
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.

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