Software Engineer, ML

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 Pay Pal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as Pay Pal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting‑edge technology and customer‑centric solutions.

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.

• 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.

• A Software Engineer with 7+ years of industry experience.
• Strong foundations in multiple programming languages (Python, Java, Type Script, 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.

• 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.

• 100% company‑paid medical, dental, and vision coverage for you and your dependents on your first day of employment.
• Monthly fitness reimbursement up to $100 or a full membership to Life Time Fitness.
• 401(k) with a 3.5% match and immediate vesting.
• Meal program for breakfast, lunch, and dinner.
• Life and accidental insurance.
• Flexible PTO.

Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks.

Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology