Full-Time
Machine Learning Engineer II
Credit Decisioning
Confirmed live in the last 24 hours
Buy now, pay later financial services
Mid
Remote in USA
- 2+ years of experience as a machine learning engineer or PhD in a relevant field
- Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus
- Strong engineering skills in Python and data manipulation skills like SQL
- Experience using large scale distributed systems like Spark or Ray
- Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
- Experience developing machine learning models at scale from inception to business impact
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
- The ability to present technical concepts and results in an audience-appropriate way
- Persistence, patience and a strong sense of responsibility
- Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
- Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
- Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
- Implement and scale data pipelines, new features, and algorithms that are essential to our production models
- Collaborate with the engineering, credit, and product teams to define requirements for new products
Affirm offers a buy now, pay later service that allows consumers to make purchases and pay over time with transparent financial products. The main technologies used include JavaScript for the app, with a focus on improving consumer lives through transparent financial products.
Company Stage
IPO
Total Funding
$2.9B
Headquarters
San Francisco, California
Founded
2012
6 month growth
↑ 1%1 year growth
↓ -2%2 year growth
↓ -4%Benefits
Spending wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
Supportive communities: Get involved with our employee resource groups and community groups
Remote-first workforce: If your role is remote, you can set up shop anywhere in your home country
Generous time off: Take the time you need when life happens
Health benefits: Get a plan that fits your needs
Mental healthcare: Take care of your mind with great mental health programs
Parental leave: Birth and non-birth parents get 18 weeks paid leave. Plus, a 4-week return-to-work transition program, at full base pay.
Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family.
Away days: We offer 24 company-wide paid days off—which help our teams collectively pause to recharge.
Learning & development: Engage in exciting learning programs to level up your growth.