Machine Learning Software Engineer

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

$130,000 – $150,000 a year

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!