<div><span>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. </span></div><div><br /></div><div><span>The candidate were looking for is used to delivering value to the end-user. Youre very comfortable coding and accustomed to producing with urgency.  </span></div><div><br /></div><div><span>Youve most likely been through several roles at several companies. Youre 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.</span></div><div><br /></div><div><span>We expect the candidate that fits in well at Lendbuzz to see technology and coding as a craft. Youre 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 its all still fun for you.</span></div><div><br /></div><div><span>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. </span></div><h3>Key Requirements:</h3><ul><li>Masters (M.S.) with 2+ years of experience in industry</li><li>Graduation date of December 2026 or later</li><li>Strong grasp of software engineering principles and OOP concepts</li><li>Intimate familiarity with Python, PostgreSQL, FLASK, REST and Linux</li><li>Experience with SQL and Python is a must</li><li>Fluency on the Linux command-line, including utilities (grep, find, etc.) and use of git</li><li>Knowledge of numpy, scipy, pandas and other python ML libraries</li><li>Be able to work hybrid in Boston full time (40 hours a week) from January- August 2026</li></ul><h3>Responsibilities:</h3><ul><li>Build &amp; Maintain Infrastructure standards for Machine Learning code bases using Software Development principles</li><li>Design and collaborate with the Infrastructure teams to build Infrastructure architecture for new and existing ML services</li><li>Integrate Machine Learning models with other teams for seamless deployment</li><li>Analyze Machine Learning models and find bottlenecks and scope of improvements</li><div><br /></div></ul><div><span>We believe:</span></div><div><br /></div><div><b>Diversity</b> <b>is a competitive advantage.</b> We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.</div><div><br /></div><div><b>Compassion</b> <b>is a strength.</b> We care about our customers and look to build long-term relationships with them.</div><div><br /></div><div><b>Simplicity</b> <b>is a key feature.</b> We work hard to make our forms and processes as painless and intuitive as possible.</div><div><br /></div><div><b>Honesty and transparency are non negotiable.</b> We incorporate these traits in all of our interactions.</div><div><br /></div><div><b>Financial opportunity belongs to everyone. </b>We work every day to improve lives by extending this opportunity.</div><div><br /></div><div>If you believe these things too then we would love to hear from you!</div>