Lendbuzz
Lendbuzz

Machine Learning Engineer Co-op

$25 – $30 per hour

TLDR

Gain hands-on experience with large-scale data annotation, data cleaning, multilingual model evaluation, and product design while working on AI chatbot projects.

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 our 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!
     
     

    Background Checks

    After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant’s or employee’s specific record and the responsibilities and requirements of the particular role.
     
     
    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.

     
     

    Lendbuzz is a fintech company that focuses on transforming the automotive lending landscape by providing underserved borrowers with personalized and equitable access to credit. Our innovative technologies aim to empower both borrowers and automotive dealers, fostering a culture of diversity and success in the industry.

    Founded
    Founded 2015
    Employees
    11-50 employees
    Industry
    Internet Software & Services
    Total raised
    $180M raised
    View company profile
    Report this job
    Apply for this job