Machine Learning Engineer Co-op
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
- 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
- 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.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Apply state-of-the-art AI to financial workflows at Rowspace by building retrieval systems, agentic pipelines, and evaluation frameworks that turn unstructured data into actionable investment insights.
NBCUniversal seeks part-time Academic Year Data Science & Analytics interns to support decision sciences and sports content analytics at its Stamford, CT hub.
Lead the development of an AI Agent platform and production ML systems at Superhuman, driving orchestration, LLM integration, and proactive product experiences.
Lead Bugcrowd’s AI & Data Science team to design and operationalize scalable ML systems and generative AI solutions that power next-generation preemptive cybersecurity products.
Thrad seeks a hands-on Data Scientist to drive product and commercial decisions through rigorous causal analysis, experimentation, and analytics at its San Francisco HQ.
Thrad seeks an Applied Scientist to design, train, and productionize real-time contextual ad relevance and bidding models for LLM conversations at its San Francisco HQ.
Pravah seeks an ML Summer Intern to work on cutting-edge forecasting, computer vision, and graph ML problems that support real-world electric grid deployments.
Join Habitat Energy's Austin team as an MLOps Engineer to productionize and scale mission-critical forecasting and optimization models that power energy trading and analytics.
Superhuman is hiring Data Scientists in San Francisco to lead experimentation, causal inference, and ML-driven analyses that influence product and growth decisions.
Lead the measurement, experimentation, and data architecture for HingeSelect as the first dedicated Staff Product Data Scientist driving causal analysis, funnel optimization, and supply-demand modeling.
NBCUniversal is seeking an Advertising & Partnerships Data Science Academic Year intern to apply analytics, modeling, and AI/ML to real-world ad tech problems across its advertising product ecosystem.
We believe financial opportunity should be more personalized and fair. To make that a reality, we’re developing innovative technologies that provide underserved and overlooked borrowers with better access to credit.
5 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
