Machine Learning Research Scientist (Computer Vision)

Lendbuzz Inc.; Boston (MA); On-site; USD 140,000 - 180,000; Full time

Job summary

Lendbuzz, une entreprise innovante à Boston, recherche un Machine Learning Research Scientist passionné pour développer des solutions d'apprentissage automatique afin d'améliorer l'accès au crédit. Le candidat idéal a un Ph.D., une solide expérience en apprentissage automatique et un fort esprit de collaboration. Le poste implique des responsabilités variées allant de la création de modèles à l'intégration de solutions dans des systèmes de production.

Qualifications

• Ph.D. en informatique, génie ou domaine connexe avec plus de 3 ans d'expérience.
• Solide maîtrise des fondamentaux en informatique et des concepts de ML.
• Compétences en Python et bases de données requises.

Responsibilities

• Construire des modèles ConvNet/Transformer pour extraire des informations de documents de prêt.
• Collaborer avec des équipes pour intégrer des modèles ML dans les systèmes de production.
• Développer des pipelines robustes et évolutifs.

Skills

Deep Learning

Machine Learning

Object-Oriented Programming

Data Manipulation

Statistics

Software Engineering Principles

Collaboration

Education

Ph.D in Computer Science

Ph.D in Engineering

Tools

numpy

scipy

pandas

torch

scikit-learn

PostgreSQL

Flask

Job description

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 deep learning based Computer Vision

Responsibilities:

• Build ConvNet/Transformer models on structured loan document images such as ID doc, passport, title, insurance binder and bank statements to extract useful information for automatic approval of loans
• 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
• 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
• 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 of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must
• 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

$140,000 - $180,000 a year

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!