Machine Learning Engineer Job Opening at Lendbuzz

At Lendbuzz, we believe in providing personalized and fair financial opportunities. Our innovative technologies aim to offer underserved and overlooked borrowers better access to credit. We value diversity, from our employees to our dealers, partners, and borrowers. Our culture is rooted in the power of diverse experiences and independent thinking.

Job Summary

We are seeking a talented Machine Learning Engineer passionate about delivering impactful solutions in a dynamic and collaborative environment. The ideal candidate will have a solid background in software development, exceptional coding skills, and a deep understanding of machine learning methodologies.

Key Responsibilities

• Develop machine learning and deep learning models using financial data, images, and text.
• Devise new research methods to solve cutting-edge problems with publishable outcomes.
• Conduct in-depth analysis of machine learning models to pioneer research methodologies.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Design and develop robust, scalable pipelines and systems adhering to best software engineering 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 continually enhance our solutions.

Required Qualifications

• Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 4+ years of relevant industry experience.
• Strong grasp of computer science fundamentals and core concepts in machine learning.
• Expertise in Data Structures, Algorithms, Linear Algebra, Probability, Machine Learning, and Artificial Intelligence.
• Proficiency in Python, PostgreSQL, and Flask for data manipulation, database management, and web development.
• Strong understanding of object-oriented programming principles and software design patterns.
• Experience with RESTful APIs and microservices architecture.
• In-depth knowledge of numpy, scipy, pandas, torch, and scikit-learn, among other Python libraries commonly used in machine learning.

Our Beliefs

Diversity is a competitive advantage. We celebrate our differences and thrive on varied experiences, viewpoints, and backgrounds.

Compassion is a strength. We aim to build long-term relationships with our customers by showing genuine care.

Simplicity is a key feature. We strive to make our forms and processes as intuitive and painless as possible.

Honesty and transparency are non-negotiable. We integrate these traits into all our interactions.

Financial opportunity belongs to everyone. Every day, we work to improve lives by extending this opportunity to all.

If you share these values, we would love to hear from you!