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About Lendbuzz

Empowering car financing for underserved consumers

🏢 Tech👥 201-500 employees📅 Founded 2015📍 Financial District, Boston, MA💰 $366.1m⭐ 3.9

FintechB2CArtificial IntelligenceTransportLendingSaaS

Key Highlights

$366.1 million in total funding
$100 million investment from Mitsubishi UFJ Financial Group
Over 100% year-on-year loan origination growth
Headquartered in Boston, MA with 201-500 employees

Lendbuzz is a fintech company headquartered in the Financial District of Boston, MA, specializing in car financing for consumers with limited credit history. Utilizing machine learning and AI, Lendbuzz assesses creditworthiness through alternative data, enabling access to loans for those underserved...

🎁 Benefits

Lendbuzz offers a comprehensive benefits package including unlimited PTO, 401(k) matching, health and dental insurance, and a fully stocked kitchen. E...

🌟 Culture

Lendbuzz is dedicated to transforming the credit landscape for underserved individuals, fostering a culture that values innovation and data-driven dec...

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Software Engineer (Machine Learning - LLMs)

Lendbuzz • Boston, MA

Posted 1 month ago🏢 Hybrid Mid-Level Machine learning engineer 📍 Boston💰 USD140,000 - USD160,000 / year

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Skills & Technologies

Python Machine learning Large language models Natural Language Processing

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 a skilled and motivated Software Engineer focused on Large Language Model (LLM) applications to join our Machine Learning team. In this role, you will help design, build, and optimize next-generation conversational agent technologies. You will collaborate closely with ML researchers and product teams to ship high-impact features and own key components of our conversational AI stack. This position reports to the ML Research Scientist.

This is a hybrid position based in Boston, MA and requires 3 days onsite.

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