Lendbuzz Inc.
Machine Learning Research Scientist
Lendbuzz Inc., Boston, Massachusetts, us, 02298
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 Research Scientist
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 outcomes. 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. $140,000 - $180,000 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!
#J-18808-Ljbffr
Machine Learning Research Scientist
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 outcomes. 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. $140,000 - $180,000 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!
#J-18808-Ljbffr