Machine Learning Scientist (Financial Scoring)
Posted Updated
Description
- Build machine learning and deep learning models based on financial and other modalities like images and text
- Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
- Conduct extensive analysis to better understand our continually evolving datasets and validate model performance
- Design and develop robust, scalable pipelines and services 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
Benefits
- Dental and Health Insurance
- Company Outings
- 401(k)
- Fitness Center
- Unlimited PTO
- Stocked Kitchen
- Company Issued Hardware
- Cool Swag
- Deep understanding of probability and statistics
- We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment
- Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming
- Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn
- 2+ years of relevant industry or postdoc experience
- Ph.D in Computer Science, Statistics, Mathematics or a related field
- Deep understanding of machine learning models and algorithms
- Excellent communication skills
- The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics
- Strong data analysis skills and experience working with messy real world data