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 be playing 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