ML Co-op: AI Chatbots & LLMs for FinTech
Lendbuzz, Boston, MA, United States
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-op
to join our team, focusing on our
sales and collection AI chatbot
projects within ou r Language Understanding and Semantic Analysis
group. 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 ). You will gain hands-on experience with
large-scale data annotation, data cleaning, multilingual model evaluation, and product design Key Responsibilities
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
Requirements
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 Able to work 40/hours a week from May-December in our Boston office ( 3 days/week)
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 customers and look to build long-term relationships with them.
Simplicity
is a key feature.
We work hard to make our forms and processes as painless and intuitive as possible.
Honesty and transparency are non negotiable.
We incorporate these traits in all of our interactions.
Financial opportunity belongs to everyone.
We work every day to improve lives by extending this opportunity.
If you believe these things too then we would love to hear from you!
A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @
lendbuzzcareers.com
). Please note that all legitimate emails from our team come from @
lendbuzz.com
. We will never ask for sensitive information or conduct interviews via messaging apps.
#J-18808-Ljbffr
We are seeking an enthusiastic
Machine Learning Co-op
to join our team, focusing on our
sales and collection AI chatbot
projects within ou r Language Understanding and Semantic Analysis
group. 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 ). You will gain hands-on experience with
large-scale data annotation, data cleaning, multilingual model evaluation, and product design Key Responsibilities
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
Requirements
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 Able to work 40/hours a week from May-December in our Boston office ( 3 days/week)
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 customers and look to build long-term relationships with them.
Simplicity
is a key feature.
We work hard to make our forms and processes as painless and intuitive as possible.
Honesty and transparency are non negotiable.
We incorporate these traits in all of our interactions.
Financial opportunity belongs to everyone.
We work every day to improve lives by extending this opportunity.
If you believe these things too then we would love to hear from you!
A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @
lendbuzzcareers.com
). Please note that all legitimate emails from our team come from @
lendbuzz.com
. We will never ask for sensitive information or conduct interviews via messaging apps.
#J-18808-Ljbffr