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’re looking for a Machine Learning Engineer who excels in building and maintaining robust systems that deliver real value to users. You’re skilled at turning functional logic into scalable code and integrating systems across teams. You embrace continuous learning, stay updated on new technologies, and drive process improvements. At Lendbuzz, you’ll work closely with infrastructure teams to design and deploy end-to-end pipelines, collaborate on ML model integration, and ensure high-quality releases. You take pride in your craft and push the team to maintain high standards in both development and testing.
Key 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, ML pipelines and systemsImplement 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:
Masters (M.S.) with 3+ years of full time experience in industry
Strong knowledge in Computer Vision, Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms
Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must
Strong grasp of CS and ML foundation and core concepts
Experience designing and implementing APIs
Intimate familiarity with Python, PostgreSQL, FLASK, REST and Linux
Able to convert functional logic into code is a must
Fluency on the Linux command-line, including utilities (grep, find, etc.) and use of git
We believe: Diversityis a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds. Compassionis a strength. We care about our customers and look to build long-term relationships with them. Simplicityis 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!
