Lendbuzz

About Lendbuzz

Empowering car financing for underserved consumers

🏢 Tech👥 201-500 employees📅 Founded 2015📍 Financial District, Boston, MA💰 $366.1m3.9
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...

Lendbuzz

Machine Learning Engineer Mid-Level

LendbuzzBoston

Apply Now →

Skills & Technologies

Overview

Lendbuzz is hiring a Machine Learning Software Engineer to develop innovative technologies that enhance access to credit for underserved borrowers. You'll work on moving models from research to production systems, requiring a strong background in software development and machine learning.

Job Description

Who you are

You have a solid background in software development principles and exceptional coding skills — your experience allows you to navigate complex systems and deliver impactful solutions. You possess a working understanding of machine learning methodologies, enabling you to contribute effectively to model development and deployment. Your familiarity with DevOps practices ensures that you can integrate machine learning models into high-performance production systems seamlessly. You value independent and critical thinking, which aligns with Lendbuzz's commitment to diversity and innovation.

You are passionate about leveraging technology to create financial opportunities for underserved borrowers — your drive to make a difference motivates you to excel in your role. You thrive in collaborative environments, working closely with cross-functional teams to achieve common goals. Your ability to communicate complex technical concepts clearly helps bridge the gap between technical and non-technical stakeholders. You are eager to learn and adapt, continuously seeking ways to improve your skills and contribute to the team's success.

What you'll do

As a Machine Learning Software Engineer at Lendbuzz, you will be responsible for developing and implementing machine learning models that enhance credit access for underserved borrowers. You will work closely with data scientists and software engineers to transition models from research environments into robust production systems. Your role will involve designing and optimizing algorithms, ensuring they perform efficiently in real-world applications. You will also collaborate with DevOps teams to establish best practices for model deployment and monitoring, ensuring high availability and performance.

You will participate in code reviews and contribute to the development of best practices for software engineering within the team. Your insights will help shape the technical direction of projects, and you will have the opportunity to mentor junior engineers, fostering a culture of learning and growth. You will engage in continuous improvement initiatives, identifying areas for optimization in both the machine learning models and the underlying infrastructure. Your contributions will directly impact the company's mission to provide fair and personalized financial opportunities.

What we offer

At Lendbuzz, you will be part of a diverse and inclusive culture that values independent thinking and innovation. We offer competitive compensation and benefits, along with opportunities for professional development and growth. You will work in a collaborative environment where your ideas are valued, and you can make a meaningful impact on the lives of borrowers. Join us in our mission to transform the financial landscape and create opportunities for those who need it most.

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