Co-op - Machine Learning Engineer

Lendbuzz; Boston (MA); On-site; USD 250,000 +; Full time

Job summary

A financial technology company in Boston is looking for a Machine Learning Co-op. The role involves annotating chat data, developing chatbot functionalities, and fine-tuning language models. Ideal candidates should have a background in Computer Science, experience with Python, and an understanding of machine learning concepts. Join a team dedicated to creating better credit access for underserved borrowers.

Qualifications

• Coursework or experience in Linear Algebra and Probability.
• Strong grasp of core Computer Science and Machine Learning concepts.
• Interview process will cover coding and Linux fundamentals.

Responsibilities

• Annotate chat data from sales-dealers and customers.
• Develop prompts and techniques to enhance LLM performance.
• Implement AI chatbot functionalities according to needs.
• Fine-tune language models based on annotated data availability.

Skills

Familiarity with Python

Data Structures and Algorithms

Foundational Machine Learning concepts

Education

Bachelor’s degree in Computer Science or related field

M.S. in Computer Science or related field preferred

Tools

Data analysis libraries (Python)

Job 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 sales and collection AI chatbot projects within our Language Understanding and Semantic Analysis group. 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).

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
• Fine-tune language 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

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!