Credit Genie Logo

Credit Genie

Staff Software Engineer, ML

Reposted 9 Days Ago
Be an Early Applicant
In-Office
4 Locations
175K-250K Annually
Senior level
In-Office
4 Locations
175K-250K Annually
Senior level
The Staff Software Engineer will lead the design and implementation of scalable backend services for Machine Learning models, focusing on system reliability and mentoring other engineers.
The summary above was generated by AI
Company 

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.

What you’ll do
  • 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.

Requirements
  • A Software Engineer with 7+ years of industry 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 Have
  • 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.

Benefits and Perks

Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness.

We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment.

Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees.

  • 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 LifeTime 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 the 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.

Top Skills

AWS
Aws Cdk
Azure
GCP
Java
Jupyter Notebooks
Python
Terraform
Typescript

Similar Jobs

Yesterday
In-Office
New York, NY, USA
175K-201K Annually
Expert/Leader
175K-201K Annually
Expert/Leader
Healthtech
Design and optimize machine learning platforms for heart disease diagnosis, ensuring compliance and scalability within healthcare regulations. Lead the integration of innovative ML systems and workflows to enhance operational efficiency and clinical outcomes.
Top Skills: AirbyteAirflowAWSDatabricksHelmJavaKubernetesMlflowPostgresPythonS3SagemakerSnowflakeTerraform
2 Days Ago
In-Office
3 Locations
115K-300K Annually
Senior level
115K-300K Annually
Senior level
Insurance
The role involves building and scaling infrastructure for machine learning, particularly focused on Large Language Models, while providing technical leadership and mentoring juniors.
Top Skills: Azure DevopsAzure MlAzure MonitorDatarobotDockerGoGrafanaJavaKubeflowKubernetesMlflowNoSQLPrometheusPythonRustSQLTerraform
7 Days Ago
In-Office
3 Locations
115K-300K Annually
Senior level
115K-300K Annually
Senior level
Insurance
The role involves building and maintaining machine learning infrastructure focusing on LLMs, designing scalable solutions, and mentoring teams.
Top Skills: AzureAzure DevopsAzure Machine LearningDockerGithub ActionsGoGrafanaJavaKubernetesPrometheusPythonRustTensorrt-LlmTerraform

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account