Job summary
Job post source
This job is directly from Progressive Leasing
Job overview
The Associate Machine Learning Engineer at Progressive Leasing contributes to building scalable, cloud-based decisioning platforms to support the company's FinTech mission.
Responsibilities and impact
The role involves designing and implementing scalable microservices, integrating ML models into production, advocating DevOps/MLOps best practices, and operating within AWS cloud environments.
Compensation and benefits
The position offers competitive compensation, full health benefits including medical, dental, vision, life insurance, paid parental leave, company matched 401k, paid time off, holidays, volunteer hours, employee resource groups, stock purchase program, tuition reimbursement, charitable gift matching, and job-required equipment and services.
Experience and skills
Candidates should have 3+ years of professional software development experience, strong Python skills, experience with service-oriented architectures, CI/CD pipelines, AWS services like Lambda and SageMaker, and Infrastructure-as-Code tools like Terraform; data science or ML background and additional tech skills are a plus.
Career development
The role offers opportunities to work on innovative, next-generation cloud platforms with a collaborative team, fostering growth in cutting-edge ML engineering and cloud technologies.
Work environment and culture
Progressive Leasing values engineering excellence, relentless progress, a team-first mindset, ownership, and impact, fostering a collaborative and autonomous work environment.
Company information
Progressive Leasing is a 20+ year old FinTech leader providing lease-to-own solutions, part of PROG Holdings with multiple business segments including BNPL platforms.
Team overview
The candidate will join the Data Science Engineering team composed of ML Engineers, Data Scientists, and Software Engineers focused on scalable, modern platforms.
Job location and travel
This is a fully remote position available anywhere in the continental US.
Unique job features
The job features working on a next-generation cloud-based decisioning platform using modern AWS services and microservices architecture in a highly collaborative environment.
Company overview
Progressive Leasing is a financial technology company specializing in lease-to-own purchase options for consumers. They partner with various retailers to offer flexible payment plans for customers who may not qualify for traditional financing. Founded in 1999, Progressive Leasing has grown significantly, leveraging proprietary technology to streamline the leasing process and enhance customer experience. The company generates revenue through lease payments and fees, providing an alternative credit solution that helps retailers increase sales and consumers access essential goods.
How to land this job
Position your resume to highlight your professional software development experience, especially your 3+ years working with Python and building scalable, event-driven microservices using Domain-Driven Design for RESTful APIs, as these are core to the Associate Machine Learning Engineer role at Progressive Leasing.
Emphasize your hands-on experience with AWS cloud services such as Lambda, SageMaker Endpoints, EKS, and RDS, along with your knowledge of CI/CD pipelines and Infrastructure-as-Code tools like Terraform to align with the job's technical requirements.
Apply through multiple platforms including Progressive Leasing's official corporate careers page and LinkedIn to maximize your application's visibility and increase your chances of being noticed by recruiters.
Connect on LinkedIn with current Machine Learning Engineers, Data Scientists, and Software Engineers at Progressive Leasing's Data Science Engineering team. Use ice breakers like commenting on their work in cloud-based decisioning platforms or asking about their experience integrating ML models into production to start a meaningful conversation.
Optimize your resume for ATS by incorporating key phrases from the job description such as 'Python FastAPI,' 'AWS Lambda,' 'SageMaker Endpoints,' 'CI/CD pipelines,' and 'event-driven microservices' to ensure your resume passes automated screenings.
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