Co-op - Software Engineer (Machine Learning Infra Team)

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.

The candidate we're looking for is used to delivering value to the end-user. You're very comfortable coding and accustomed to producing with urgency.

You've most likely been through several roles at several companies. You're at a stage in your career where processes and tools have become important to you. You feel strongly about pulling the team up to your standard rather than sinking to the status quo.

We expect the candidate that fits in well at Lendbuzz to see technology and coding as a craft. You're passionate about pushing tests into releases, even the rushed ones, even just a few. You keep abreast of new technologies in your sphere of interest because it's all still fun for you.

This is a full time (40 hours) co-op running from January to August 2026, and you will be expected to be in our Boston office 4 times a week.

Key Requirements:

Masters (M.S.) with 2+ years of experience in industry

Graduation date of December 2026 or later

Strong grasp of software engineering principles and OOP concepts

Intimate familiarity with Python, PostgreSQL, FLASK, REST and Linux

Experience with SQL and Python is a must

Fluency on the Linux command-line, including utilities (grep, find, etc.) and use of git

Knowledge of numpy, scipy, pandas and other python ML libraries

Be able to work hybrid in Boston full time (40 hours a week) from January-December 2026

Responsibilities:

Build & Maintain Infrastructure standards for Machine Learning code bases using Software Development principles

Design and collaborate with the Infrastructure teams to build Infrastructure architecture for new and existing ML services

Integrate Machine Learning models with other teams for seamless deployment

Analyze Machine Learning models and find bottlenecks and scope of improvements

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!

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