Software Engineer, Machine Learning

Credit Genie • Pittsburgh, PA

2d • Onsite

About The Position

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability.

Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions.
Who you are
Are you a highly experienced backend Software Engineer passionate about designing and building the sophisticated, scalable systems that power cutting-edge Machine Learning models? Play a pivotal role in integrating ML solutions into our core products, driving innovation, and delivering significant business impact.
We're looking for engineers to lead the design, development, and deployment of backend systems and APIs that support our ML initiatives. You'll focus on the infrastructure and services required to deploy, monitor, and scale models that drive decisions across the company.

Requirements

• A Software Engineer with 4+ years of industry experience. (open to mid career - senior level experience)
• Strong foundations in multiple programming languages (Python, Java, TypeScript, etc.).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Experienced at designing and implementing distributed, production-grade systems.
• Comfortable with system design, APIs, version control, Infrastructure as Code, and testing.
• Curious, motivated, and eager to expand into AI/ML.
• Collaborative and excited by fast-moving, problem-solving environments.
• Prior exposure with Machine Learning and AI concepts, tools, or frameworks.

Nice To Haves

• Familiarity with Data Engineering or working with large-scale datasets.
• Contributions to open-source projects, personal AI projects, or participation in hackathons/competitions.
• Knowledge of AWS CDK and Terraform.
• Experience with ML development environments like Jupyter Notebooks.
• Contributions to open-source projects, personal AI/ML projects, or participation in hackathons/competitions.

Responsibilities

• Lead the design and implementation of highly available, scalable backend services and APIs that serve and integrate our Machine Learning models into production applications.
• Architect and optimize data pipelines and feature stores essential for training and serving ML models at scale.
• Collaborate with other ML Engineers to improve model deployment, monitoring, and experimentation workflows (MLOps).
• Drive technical excellence, setting high standards for code quality, system reliability, and performance.
• Mentor and guide other engineers on best practices for building robust backend systems in an ML-focused environment.
• Have fun working on hard and highly impactful problems.

Benefits

• 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
• Receive up to $100 per month in fitness reimbursement or enjoy a complimentary full membership to LifeTime Fitness or Equinox.
• 401(k) with a 3.5% match and immediate vesting
• Meal program available for both lunch and dinner
• Pre-tax benefits, including a $1,000 HSA match
• Life and accidental insurance
• Flexible PTO

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed