Machine Learning Engineer

Remote

SmartBiz Loans


Role Location

  • Remote

Employees

101 - 250 people

Address

433 California Street, Suite 900
San Francisco, CA, 94104, US

Tech Stack

  • React
  • Apollo
  • GraphQL
  • Gatsby
  • Storybook
  • Python/Flask
  • Docker
  • AWS technologies
  • TensorFlow
  • Terraform
  • Ansible
  • Sidekiq/Redis
  • Nginx
  • HTML/CSS/SASS
  • JS
  • Ruby on Rails

Role Description

The Data Team

As a Machine Learning Engineer on the team, you'll 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’re 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'll 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 an 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're 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

About SmartBiz Loans

10% of the entire nation's volume of SBA 7(a) loans under 350k are processed using SmartBiz's platform. 50% of the loans funded by our banks are for women-owned, minority, or veteran businesses.

Company Culture

Collaborative. Diversified. Respectful. Passionate about impacting small businesses; helping them thrive and get capital when they need it. There is no way we would have survived the intense last 5 quarters if the team hadn't done a great job building relationships, not just within engineering. This was group who pulled together to impact thousands of businesses, lives, and jobs. Knowing this is what we were doing, was the fuel that sustained us.

Interested in this role?
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