Senior Machine Learning Engineer



1,001-5,000 employees

Point of sale installment loans for consumers

Data & Analytics
Financial Services
Consumer Goods

$146100 - $243500

Employee Stock Purchase Plan


Remote in USA

Required Skills
Data Structures & Algorithms
Apache Spark
  • Bachelors in a technical field with 6+ years experience building and deploying ML models
  • Proficiency in machine learning with experience in areas such as gradient boosting, online learning, and deep learning
  • Strong programming skills in Python
  • Experience using large scale distributed systems like Spark and Ray
  • Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch
  • Excellent written and oral communication skills
  • The ability to present technical concepts and results in an audience-appropriate way
  • Persistence, patience and a strong sense of responsibility
  • Develop machine learning models to predict the likelihood of fraud
  • Partner with the ML platform team to build fraud specific ML infrastructure
  • Research and develop prototypes for fraud decisioning
  • Implement and scale data pipelines, new features, and algorithms essential to production models
  • Collaborate with engineering, fraud, and product teams to define requirements for new products
  • Develop fraud models to maximize user conversion while minimizing fraud losses and data costs

Company Stage


Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



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.