At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

We are seeking an enthusiastic Machine Learning Co-ops to join our team, focusing on our Computer Vision and Agentic AI projects. Ideal candidates should be keen to explore the intricacies of the auto loan industry and will learn about large-scale data annotation, cleaning and product design for real-world applications of Large Language Models (LLMs) and automated verifications.

Key Responsibilities

Annotate documents data from sales-dealers and customers to train AI workflows

Develop and refine prompts and Retrieval-Augmented Generation (RAG) technique cvg cant es to enhance the performance of CV models and AI workflows

Assess the needs of dealers and customers, and implement AI verification functionalities to address those needs

Fine-tune Computer Vision models as time permits and based on the availability of annotated data

Requirements

Bachelor's degree in Computer Science or a related field

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)

Machine Learning Engineer Co-Op (Data Labeller)

About this role

Key Responsibilities

Requirements

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