Machine Learning Engineer
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AI Summary
Develop and prototype robust, production-ready machine learning software to support consumer lending decisions. Collaborate with cross-functional teams to build tools and solutions that improve internal and external productivity.
About Zest AI:
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.
Duties:
- 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.
Requires a Master's degree in Computer Science, Physics, Data Science, or related (or its equivalent). Plus 3 months of experience in a related role.
Requires 3 months of experience in the following:
- Visualization, dataset process, & machine-learning toolkits
- Developing advanced predictive analytical solutions
- Dataset validation including sanity check, clean, preprocess, and aggregation
- Working with "big data" and building predictive models
- At least one of the following: Python, R, Java or C++
Telecommuting permitted.
Medical/Vision, Dental, & Retirement benefits available.
40 hours/week, Wage Range: $115,000-$150,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #16015.
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