Machine Learning Engineer - REMOTE

Overview

SmartBiz is on a mission to transform small business lending.

Our industry-defining marketplace enables small businesses to access the affordable capital they need to thrive, and banks the ability to efficiently meet the unique needs of their SMB customers. To date, SmartBiz has channeled over $8.6 billion of capital to over 235,000 small businesses across the country, and over 50% of loans on our platform have gone to women-owned, minority, or veteran businesses.

Machine Learning Engineer (Data Team)

As a Machine Learning Engineer at SmartBiz, you will join an exciting new team focused on providing engineering solutions to enable our scientists and analysts. Machine Learning is critical to our core business, and our greatest competitive advantage lies in the fact that we are able to innovate on our AI engine quickly.

This team’s overall mission is to extract value from data to help more small businesses gain access to credit.

How You Will Make An Impact:

• Build, maintain, and monitor high-quality software applications that enable machine learning models to be applied to the ever-evolving needs of the business
• Develop the scaffolding that allows research scientists to integrate models into production services and expose APIs to allow other software services to leverage them
• Enable rapid experimentation and feedback loops in our model serving code so that we have the ability to continuously improve
• Work collaboratively with Data Scientists, Data Engineers, and DevOps Engineers to ensure that model training and deployment is a repeatable process that relies heavily on automation
• Maintain and support our data pipelines and the quality of our data
• Data mining to extract more value from our data

What We Are Looking For:

• 6+ years of software engineering experience
• Experience building and maintaining backend software services and APIs
• Familiarity with containers, continuous integration, CI/CD pipelines, and Kubernetes
• Experience with some or many of the following: Python (Flask/Django), Ruby on Rails, scikit-learn, interactive notebooks (Jupyter/Zeppelin), Apache Spark, Kafka and AWS
• Ability to architect software and ML systems at scale and think critically about design tradeoffs
• Excellent quantitative reasoning skills
• Interest in working at the intersection of engineering and machine learning
• Desire to be part of a dynamic and agile team

Opportunities & Benefits We Will Provide:

• Clear path to an IPO and an opportunity to help us through the journey to becoming a public company
• Opportunity to help redefine small business banking
• Competitive salary and equity in a fast-growing start-up
• 100% paid medical, dental, and vision benefits for you and your dependents
• 100% paid life and disability insurance
• 401k plan
• Work from anywhere in the United States; we're a fully distributed company, and we provide the tools, culture, and support to make your work setup work for you

More About SmartBiz:

• 50% + of the loans funded by our banks are for women-owned, minority, or veteran businesses
• American Banker's Best Places to Work in Financial Technology in 2017, 2020, and 2021
• TechBullion named SmartBiz as one of the 5 Best Fintech Companies to Work For in 2019
• #313 on the Inc. 5000 list of fastest-growing private companies in the U.S. in 2018
• Named one of the Best Places to Work and one of the Bay Area’s Fastest-Growing Private Companies by the San Francisco Business Times
• A+ rating with the Better Business Bureau and rated "excellent" by review websites TrustPilot, Consumer Affairs, and Google

The company has raised $47 million in venture funding. Investors include Venrock, Investor Growth Capital, and First Round Capital.

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SmartBiz Loans is an Equal Opportunity employer and proud to provide equal employment opportunity to all job seekers without regard to any status protected by applicable law.

California residents can learn more about how we use your information by visiting https://sites.google.com/view/smartbizloans-employment-ccpa

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