Machine Learning Engineer
Role summary
This Machine Learning Engineer role focuses on building real-world applications of Large Language Models (LLMs) within the auto loan industry. The co-op will work on sales and collection AI chatbot projects, gaining hands-on experience in data annotation, cleaning, multilingual model evaluation, and product design. Key responsibilities include annotating chat data, developing and refining prompts using RAG techniques, and implementing AI chatbot functionalities to meet dealer and customer needs. The role requires a strong foundation in CS and ML concepts, proficiency in Python, and familiarity with LLMs and related technologies.
### Who you are
- Ideal candidates should be eager to explore the intricacies of the auto loan industry, and interested in building real-world applications of Large Language Models (LLMs)
- Pursuing a Bachelor’s degree in Computer Science or a related field, pursuing a M.S in Computer Science or a related field preferred
- Coursework or experience in Data Structures, Algorithms, Linear Algebra, Probability, and foundational Machine Learning and Artificial Intelligence concepts
- Familiarity with Python and its data analysis libraries
- Strong grasp of core CS and ML concepts
- Interview process will include questions on coursework, coding, probability, machine learning, and Linux fundamentals
### What the job involves
- We are seeking an enthusiastic Machine Learning Co-op to join our team, focusing on our sales and collection AI chatbot projects within our Language Understanding and Semantic Analysis group
- You will gain hands-on experience with large-scale data annotation, data cleaning, multilingual model evaluation, and product design
- Annotate chat data from sales-dealers and customers to train AI chatbots
- Develop and refine prompts and Retrieval-Augmented Generation (RAG) technique cvg cant es to enhance the performance of zero-shot and few-shot language models (LLMs)
- Assess the needs of dealers and customers, and implement AI chatbot functionalities to address those needs
- QA and improve our live audio call AI agent
### Benefits
- Dental and Health Insurance
- Company Outings
- 401(k)
- Fitness Center
- Unlimited PTO
- Stocked Kitchen
- Company Issued Hardware
- Cool Swag
Similar roles
Machine Learning EngineerMastech Digital · Dallas, Texas, United States · Onsite- Machine Learning EngineerEdurech Technoogy · Santa Clara, California, United States · Hybrid
- Machine Learning EngineerMORSE Corp · Boston, Massachusetts, United States · Hybrid
- Machine Learning EngineerReddit · San Francisco, California, United States · Remote
- Machine Learning EngineerReddit · New York, New York, United States · Remote