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

Job Title: Co-op - Software Engineer (Machine Learning Infra Team)
Job Location: Boston, MA
Job Listing URL: https://jobs.lever.co/lendbuzz/993d1052-8793-4bb0-98e2-6ed4cab0585a
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- August 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