Our vision is to revolutionize the way credit operates—from application, to underwriting, to repayment.  We build cutting-edge technology and create networks which expand access to cheaper credit, reduce costs for lenders, and help fuel the collaborative economy of tomorrow.

We come from varied backgrounds and bring a unique perspective to lending.  We are looking for individuals who are humble, hard working, passionate, friendly, team-oriented, and innovative.  We like people who speak their mind and are comfortable with rapid change and uncertainty.  We value humor, user-centered design, open communication, curiosity, challenging assumptions, and rapid experimentation.  We seek to build groundbreaking technology and marry it with beautiful, intuitive design, and to transform intangible data into smart, holistic decisions.  

Data engineering, signal processing, machine learning...these are at the core of our DNA.  While we are specialists in technology, we care deeply about solving real business problems.   Small business lending is broken.  Come help us fix it!

We are looking for an entrepreneurial and intellectually-curious person to join our growing team.  We provide opportunity for professional growth and the ability to help define the culture of the company.  We want someone who thinks deeply about tough problems and is passionate about advancing the state of the art.  

• Primary responsibility is to build machine learning models for credit.  We want someone who will identify new approaches and rapidly test.  Focused experimentation is good.  

• Research approaches to leverage a large variety of-possibly disjoint-data sets

• Build out tools and infrastructure for data analysis

• Stay current with latest research and technology ideas and share this knowledge with the team

• Operationalize the use of machine learning within all aspects of the company

Successful candidates possess the following:

• Applied Machine Learning experience (supervised and unsupervised learning, ensemble methods, support vector machines, probabilistic models, neural networks…Are you generative? or discriminative?)

• Advanced degree in Machine Learning, Statistics or related quantitative field is desirable

• Experience constructing models from disparate/disjoint data sources

• Demonstrated adaptability to new problem domains is helpful in lieu of background in finance or technical analysis

• Strong communication and collaboration skills

• Ability to work effectively in teams as well as alone

• Fluency in programming languages like Python/Java and experience with prototyping languages (R, Matlab, etc.)

• Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities

Mirador is based Portland, OR.