Machine Learning Engineer

Zest AI•Burbank, CA

13d•$115,000 - $150,000•Remote

About The Position

Zest AI has been perfecting AI for consumer lending decisions since 2009. Our Model Management System helps lenders make better decisions and better loans—increasing revenue, reducing risk, and automating compliance. Our mission is to make fair and transparent credit available to everyone and our software creates some of the most inclusive risk models in the industry. Using Zest-built machine learning software, financial institutions can dramatically expand credit access to deserving people with no added risk. Learn more at Zest.ai and connect with us on Twitter @Zest_AI or our Insights blog. Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply. ZestFinance, Inc dba ZestAI seeks a Machine Learning Engineer in Burbank, CA.

Requirements

Master's degree in Computer Science, Physics, Data Science, or related (or its equivalent).
3 months of experience in a related role.
3 months of experience in visualization, dataset process, & machine-learning toolkits
3 months of experience in developing advanced predictive analytical solutions
3 months of experience in dataset validation including sanity check, clean, preprocess, and aggregation
3 months of experience working with "big data" and building predictive models
At least one of the following: Python, R, Java or C++
Authority to work permanently in the U.S.

Responsibilities

Create experiments and develop prototypes, with the goal of developing robust and efficient production-ready software.
Collaborate with product management, sales/engagement management, and engineering departments to understand company needs and devise ML/AI-powered solutions.
Drive technical projects forward, holding a tremendous amount of responsibility and direct impact to the business.
Build internal and external tools that will increase the productivity of teams leveraging the ML/AI-based systems.
Build demos, guidance documentation, and assist with training to help increase proficiency for our internal/external customers.
Test and apply cutting-edge ML/AI research to develop new and improved products, processes, or technologies.