Extend is looking to solve the problem of fraud detection and prevention in post-purchase experiences for retailers and their customers
Requirements
- 3+ years of experience building and deploying production machine learning models
- Previous experience building fraud detection or risk assessment tools is a strong plus
- Solid understanding of fundamental machine learning and computer science concepts, software design best practices
- Expertise with Python, including common ML/AI libraries such as Scikit-learn, Pytorch, or Tensorflow
- Expertise with SQL; experience with dbt or graph databases is a plus
- Familiarity with large language models (LLMs) and their applications in risk and fraud detection
- Experience with AWS, cloud computing, and/or Typescript is a plus
Responsibilities
- Develop and deploy machine learning models to prevent and detect fraud and abuse, leveraging structured and unstructured data sources
- Own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, validation, and deployment
- Monitor and maintain models in production to ensure performance and reliability over time
- Collaborate with product and engineering teams to integrate machine learning models into production applications
- Foster a culture of learning, experimentation, and collaboration within and across partner teams
Other
- Excellent communication and stakeholder management skills, with a track record of working cross-functionally to drive business impact
- Attention to detail, intellectual curiosity, and a deep understanding of user behavior and fraud patterns
- Empathy and humility
- Competitive salary based on experience, with full medical and dental & vision benefits
- Stock in an early-stage startup growing quickly
