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 thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development principles, exceptional coding skills, and a deep understanding of machine learning methodologies.

Responsibilities:

Build machine learning and deep learning models based on financial and other modalities like images and text
Devise new research methods to solve bleeding edge problems and get a chance to work on publishable outcome
Conduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challenges
Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
Design and develop robust, scalable pipelines and systems using software engineering best practices
Implement end-to-end solutions, including architecture design, business logic, and deployment
Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements:

Ph.D in Computer Science, Engineering, or a related field with 3+ years of relevant industry experience
Solid grasp of computer science fundamentals and core concepts in machine learning
Strong knowledge in Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms
Proficiency in Python for data manipulation, PostgreSQL for database management, and Flask for web development
Strong understanding of object-oriented programming principles and software design patterns
Experience with RESTful APIs and micro-services architecture
Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must

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!

Machine Learning Engineer (Financial Scoring)

Responsibilities:

Requirements:

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