The Role
The Machine Learning Software Engineer will integrate ML models into production systems, implement end-to-end solutions, perform data analysis, and ensure high-quality code releases.
Summary Generated by Built In
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 looking for a talented Machine Learning Engineer who is passionate about delivering impactful solutions and moving models from research environments into high-performance production systems. The ideal candidate will possess a strong background in software development principles, exceptional coding skills, and a working understanding of machine learning and DevOps methodologies.
Key Responsibilities:
- Collaborate closely with data scientists and cross-functional teams to integrate machine learning models seamlessly into production systems
- Implement end-to-end solutions, including architecture design, business logic, deployment and monitoring
- Perform exploratory data analysis, build baseline models and fine-tune existing architectures to support the data science team
- Package, containerize, and deploy ML models (Financial, Text, Image) as scalable microservices (using FastAPI, Docker)
- Stay updated with advancements in machine learning and related technologies to continuously improve our solutions
- Drive the adoption of rigorous engineering standards and testing practices for ML codebases, ensuring high-quality, reliable ML model releases
Key Requirements:
- Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant industry experience
- Strong understanding of computer science fundamentals, object-oriented programming and software design patterns
- Strong knowledge of machine learning fundamentals and proficiency in data analysis
- Proficiency in Python, SQL, FastAPI or other RESTful API architectures and AWS
- Familiarity with numpy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning
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!
A Note on Recruiting Outreach
We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
Top Skills
AWS
Docker
Fastapi
Numpy
Pandas
Python
Scikit-Learn
SQL
Torch
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The Company
What We Do
Lendbuzz is an AI-based auto finance platform that helps consumers with thin or no credit history obtain financing when purchasing a car. Powered by machine learning and proprietary algorithms, Lendbuzz can assess the creditworthiness of consumers with limited credit history—a group underserved by traditional banks. Through their auto dealership partners, Lendbuzz offers consumers attractive financing solutions while opening up opportunities for those dealerships to serve a more diversified client base. Lendbuzz is headquartered in Boston, Massachusetts and was founded in 2015.
