Senior Staff Machine Learning Engineer
FlexSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Technology, Credit & LendingIndustries
Requirements
Candidates must possess 6 years of experience as a machine learning engineer, with a relevant PhD potentially counting for up to 2 years of experience. They should have experience developing machine learning models at scale, including expertise in Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Strong engineering skills in Python and data manipulation using SQL are required, along with experience utilizing large-scale distributed systems such as Spark or Ray. Proficiency with open-source projects and tools like scikit-learn, pandas, NumPy, XGBoost, PyTorch, and Kubeflow is necessary, and experience with Kubernetes, Docker, and Airflow is a plus. Excellent written and oral communication skills are also essential for driving cross-functional requirements with product and engineering teams.
Responsibilities
The Senior Machine Learning Engineer will utilize Affirm’s data to develop machine learning models predicting the likelihood of default and making approval or decline decisions, aligning with business objectives. They will partner with platform and product engineering teams to build model training, decisioning, and monitoring systems, researching groundbreaking solutions and developing prototypes to advance credit decisioning. Furthermore, the role involves implementing and scaling data pipelines, new features, and algorithms for production models, and collaborating with engineering, credit, and product teams to define requirements for new products.
Skills
Machine Learning
Generalized Linear Models
Gradient Boosting
Deep Learning
Probabilistic Calibration
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