Machine Learning Research Scientist
Description For Machine Learning Research Scientist
Lendbuzz is revolutionizing financial access by developing innovative technologies that provide underserved and overlooked borrowers with better credit opportunities. We're seeking a Machine Learning Research Scientist to join our mission-driven team. This role combines cutting-edge ML research with practical implementation, requiring expertise in building and deploying sophisticated machine learning models for financial applications.
The position offers an opportunity to work on challenging problems at the intersection of finance and AI, with the potential to publish research findings. You'll be responsible for developing ML models across various modalities including financial data, images, and text, while ensuring these solutions are production-ready and scalable.
The ideal candidate brings a Ph.D. in Computer Science or related field, along with 3+ years of industry experience. Strong foundations in computer science, machine learning, and software engineering are essential. You'll work with modern tools and technologies including Python, PostgreSQL, and various ML frameworks.
At Lendbuzz, we've built our culture around diversity, compassion, and transparency. We believe these values drive innovation and better outcomes for our customers. We offer competitive compensation ($140,000-$180,000) and the opportunity to make a real impact on financial inclusion.
If you're passionate about using ML to solve real-world problems, want to work in a collaborative environment, and believe in our mission of making financial opportunities accessible to everyone, this role offers an exciting opportunity to drive innovation in financial technology.
Responsibilities For Machine Learning Research Scientist
- 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 work on publishable outcome
- Conduct in-depth analysis of machine learning models and pioneer research methodologies
- Collaborate with cross-functional teams to integrate machine learning models 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
- Stay updated with advancements in machine learning and related technologies
Requirements For Machine Learning Research Scientist
- 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 ML libraries
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