Associate Machine Learning Engineer (Remote)

Progressive Leasing; Town of Texas (WI); Remote; USD 100,000 - 125,000; Full time

Job summary

A leading FinTech company is hiring an Associate Machine Learning Engineer to join a remote-first team. Candidates will design scalable microservices and work with cutting-edge ML technologies, aiming to innovate a next-generation cloud-based decisioning platform, making a significant impact in a collaborative environment.

Benefits

Competitive Compensation

Full Health Benefits

Company Matched 401k

Paid Time Off

Tuition Reimbursement

Qualifications

• 3+ years of professional software development experience.
• Experience in building service-oriented architectures.
• Strong understanding of CI/CD pipelines.

Responsibilities

• Architect and implement the new decisioning platform.
• Design, build, and support scalable microservices.
• Integrate ML models into production.

Skills

Python

Microservices

DevOps

MLOps

Tools

AWS

Terraform

Job description

Join to apply for the Associate Machine Learning Engineer (Remote) role at Progressive Leasing

Join to apply for the Associate Machine Learning Engineer (Remote) role at Progressive Leasing

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Progressive Leasing is a leading provider of in-store and e-commerce lease-to-own solutions. As an almost 20+ year old FinTech company that has gone from start-up to industry leader, we know how to innovate, simplify, and value all people. We are a company founded on our grit and we are constantly looking to the future. As an ever-evolving group of entrepreneurs and technologists, we strive to do the right thing period in all aspects of our work. We are a subsidiary of PROG Holdings (NYSE: PRG), an exciting FinTech holding company, with three business segments including Progressive, Vive Financial, and Four, a Buy Now Pay Later (BNPL) platform.

We are currently hiring a Associate Machine Learning Engineer to help grow our company and ensure our mission is achieved!



This role is a fully remote position and can be performed anywhere in the continental US.



WE ARE: The Data Science Engineering team at Progressive Leasing is a forward-thinking, cutting-edge technology group composed of Machine Learning Engineers, Data Scientists, and Software Engineers. We collaborate to build scalable, modern platforms that drive critical decisioning, automate processes, and enhance data science and modeling capabilities.

Our latest initiative? Building a next-generation cloud-based decisioning platform from the ground up. If you thrive in an environment where innovation meets execution, this is your opportunity to be a foundational part of a game-changing engineering effort.

What We Believe

• Engineering excellence – We take pride in building high-quality, robust, and scalable solutions.
• Relentless progress – We iterate, experiment, and constantly improve.
• Team-first mindset – We share knowledge, elevate each other, and move forward together.
• Ownership & impact – We empower our engineers to lead, innovate, and execute with autonomy.
  
  

YOU ARE: We’re looking for strong software engineers who are passionate about building scalable, event-driven microservices and enabling Machine Learning in production. You will play a key role in designing and implementing modern cloud-based applications, working in a highly collaborative and autonomous environment. If you thrive on solving complex problems and want to shape the future of decisioning platforms, we want to hear from you.

Your Day-to-day

• Work closely with the Director of Machine Learning Engineering to architect and implement our new decisioning platform.
• Design, build, and support scalable microservices that power Machine Learning and Data Science applications.
• Partner with Data Scientists and ML Engineers to integrate cutting-edge models into production.
• Advocate for and implement best practices in DevOps/MLOps, CI/CD, and automation.
• Operate in a modern AWS cloud environment, leveraging:
• AWS Lambda for serverless compute
• Amazon RDS for database management
• Amazon EKS for container orchestration
• SageMaker Endpoints for real-time ML model deployment
• Python FastAPI for building high-performance APIs
• Ensure high code quality through code reviews, testing, and software craftsmanship.
• Take ownership of projects, drive them forward, and contribute to technical decisions.
  
  

You’ll Bring

• 3+ years of professional software development experience, preferably in an enterprise or production setting
• 3+ years of experience working with Python
• Experience building service-oriented and event-driven architectures, using Domain-Driven Design for RESTful microservices.
• Strong understanding of CI/CD pipelines, with experience in CircleCI, Octopus, or similar tools.
• Experience working with AWS services, particularly Lambda, SageMaker Endpoints, EKS, RDS, and Python FastAPI.
• Experience using Terraform or other Infrastructure-as-Code (IaC) tools.
• A track record of successfully delivering cross-functional projects in fast-paced, evolving environments.
  
  

You Might Also Have

• Background/Experience in Data Science or Machine Learning
• Experience with C# and .Net Core
• Experience with Javascript
• Experience with a variety of technologies such as SonarQube, Artifactory, and Mend.io
  
  

We Offer

• Competitive Compensation
• Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
• Company Matched 401k
• Paid Time Off + Paid Holidays + Paid Volunteer Hours
• Employee Resource Groups
• Employee Stock Purchase Program
• Tuition Reimbursement
• Charitable Gift Matching
• Job required equipment and services
  
  

Progressive Leasing welcomes and encourages diversity in the workplace. We do not discriminate in any aspect of employment on the basis of race, color, religion, national origin, ancestry, gender, sexual orientation, gender identity and/or expression, age, veteran status, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Progressive Leasing does business.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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