Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries
Requirements
Candidates should possess 6+ years of experience as a machine learning engineer, with a relevant PhD potentially counting for up to 2 years of experience. A Bachelor’s degree in a related field is also acceptable, with equivalent practical experience being considered. Strong proficiency in machine learning, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration is required, with domain knowledge in credit risk being a plus. Experience with large-scale distributed systems like Spark or Ray, and familiarity with open-source projects such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, Kubeflow, Kubernetes, Docker, and Airflow is desired.
Responsibilities
As a Senior Machine Learning Engineer, you will develop machine learning models to predict the likelihood of default and make approval or decline decisions, partnering with platform and product engineering teams to build model training, decisioning, and monitoring systems. You will research and develop prototypes to drive the future of credit decisioning, implement and scale data pipelines and algorithms, and collaborate with engineering, credit, and product teams to define requirements for new products. Additionally, you will utilize Affirm’s data to achieve business objectives and maintain a strong sense of responsibility and communication skills.
Skills
Python
SQL
Spark
Ray
scikit-learn
pandas
NumPy
XGBoost
PyTorch
Kubeflow
Kubernetes
Docker
Airflow
Affirm
Provides buy now, pay later financing solutions
About Affirm
Affirm offers point-of-sale financing solutions as an alternative to traditional credit cards. It allows consumers to make purchases and pay over time through installment plans, often without hidden fees or deferred interest. Affirm partners with merchants to integrate its payment solutions into online and in-store shopping experiences, using user-friendly plugins and APIs. The company generates revenue from interest and fees on loans to consumers, as well as fees from merchants for offering its financing options. Affirm also provides a merchant dashboard for transaction processing and promotional tools to help businesses market these financing options effectively. The goal of Affirm is to empower consumers with flexible payment options while providing value to merchants in the e-commerce and retail markets.
Key Metrics
San Francisco, CaliforniaHeadquarters
2012Year Founded
$1,113.8MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees