Democratize Access To Credit
Together we will dismantle barriers to housing for working families by using data to eliminate the racial wealth gap. The ability to build credit from rental payments has the potential to give over 45 million renters with little to no credit a pathway into the financial system. Those individuals then stand to save over $200,000 in reduced lifetime interest payments, build home equity by qualifying for mortgages, and build wealth by passing job screening requirements.
The Engineering Team
We are building a team of owners and changemakers. It is not enough to have the intention to do good –Esusu engineers translate intent into action and outcomes. We believe that lone heroes cannot accomplish our ambitious goals. Lasting change requires work by determined and collaborative individuals with a customer-first mindset. Our engineers aim to delight our customers and drive our business and team forward by leveraging their technical skills, empathetic curiosity, and teamwork.
Our back-end is microservice-based, hosted in AWS, and mainly written in Go. Our front end is based on React and written in Typescript. Our mobile apps are built using Flutter. Our data infrastructure is based on MongoDB, PostgreSQL, S3, Sagemaker, Snowflake, Talend, and mainly written in Python.
We are continuously innovating and always open to new solutions. Because Esusu is a financial services company, we are obsessive about every aspect of compliance and security. We embrace a DevOps environment where the team is responsible for the full spectrum of development, testing, deployment, and maintenance, including working with product and business operations teams to create customer-focused solutions. Even though we are 100% remote, Esusu’s culture is intensely collaborative.
The Opportunity
Esusu is seeking a ML Engineer to apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. This role will work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems. This role requires a high degree of collaboration with key managers, product owners, and other peers and cross-functional partners that rely, produce, and interact with the data domain across the organization (e.g., Data Engineers, Data Analysts, Backend Engineers, Marketing, Sales). The ML Engineer will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments. Additionally, you will translate model insights into actionable strategies that drive business decisions and financial inclusion.
In addition to the technical responsibilities, you will coach and mentor your fellow data analysts and data engineers. You will ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work. You will exhibit and foster Esusu’s culture and operating principles.
Core Competencies
Basic Qualifications
Above and Beyond
Key Technologies We Use
Benefits
This job is eligible only for the following states: California, Colorado, District of Columbia, Georgia, New York, Illinois, Washington
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
© Esusu Inc. All rights reserved, Esusu is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.
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