Machine Learning Engineer

Our client is a fully remote, VC-backed, pre-seed, high-growth startup, building AI-powered software to help parent companies communicate more effectively with their franchisees. As a Machine Learning Engineer, you'd play a key role in architecting and implementing the machine learning pipeline to support the company's growth and innovation Responsibilities: Architecting the long-term vision of the machine learning pipeline Working with agentic AI for a universal interface Building a robust MLOps pipeline to define, track, and evaluate different configurations of the machine learning and information retrieval system Implementing IR and NLP techniques to improve the accuracy of the system Experimenting with various methods to optimize the performance and utility of LLMs within the system Researching and keeping up-to-date on the latest machine learning and AI advances to influence the technical direction of the company Requirements: Bachelor of Computer Science, Mathematics, Engineering, or a related discipline 2 years of experience in machine learning and/or MLOps in industry or academia Demonstrated proficiency in Python Strong understanding of statistics and probability relevant to machine learning Experience with cloud-based systems and tools, preferably in the AWS ecosystem Familiarity with version control systems, ideally Git or equivalent Experience with LLM APIs, information retrieval or search engines, and NLP will be considered a strong asset