Lendbuzz

Machine Learning

MachineLearningEngineerCo-Op(DataLabeller)

$0–0k Boston, Massachusetts, United States Co-Op Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Machine Learning Engineer Co-Op (Data Labeller) at Lendbuzz. Skills: Computer Vision, Agentic AI, Data Labelling. Annotate documents data. Develop prompts”

Industry & Context.

Machine Learning

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Coursework in Data Structures, Coursework in Algorithms, Coursework in Linear Algebra, Coursework in Probability, Coursework in Machine Learning, Coursework in Artificial Intelligence, Familiarity with Python, Familiarity with data analysis libraries, Grasp of core CS concepts, Grasp of ML concepts, Grasp of Linux fundamentals

Nice to Have

M. S. in Computer Science, Fine-tune Computer Vision models

What You'll Do.

Annotate documents data

Enhance performance of CV models

Enhance performance of AI workflows

Assess needs of dealers

Assess needs of customers

Implement AI verification functionalities

Full Job Description

## Description 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) ## Additional Information We believe:   Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.   Compassion is a strength. We care about our cust

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