Machine Learning Software Engineer

Lendbuzz • Boston, MA

2d • $130,000 - $150,000

About The Position

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.

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees