A leading tech company in Austin, TX, is seeking a skilled professional to detect fraud and fake accounts using innovative machine learning techniques. The ideal candidate has over 4 years of experience in data engineering or as a data scientist. This role will focus on creating real-time models and optimizing data pipelines. Compensation ranges from $200,000 to $250,000 plus equity and excellent benefits, including unlimited vacation and a 401k match.
Qualifications
4+ years as an engineer, data scientist, ML engineer, or similar.
Experience handling high-volume data ingestion in production.
Built large scale models with data collection, feature engineering, and monitoring.
Responsibilities
Create, test, and deploy real-time signal collection and modeling architecture.
Develop infrastructure for large scale pipelines.
Build ML models that adapt to shifting attack vectors.
Optimize pipelines for instant scoring.
Skills
Machine Learning
Data Engineering
Real-time Signal Processing
Problem-solving
Curiosity
Tools
Go
Python
Typescript
GCP
Redis
Job description
A leading tech company in Austin, TX, is seeking a skilled professional to detect fraud and fake accounts using innovative machine learning techniques. The ideal candidate has over 4 years of experience in data engineering or as a data scientist. This role will focus on creating real-time models and optimizing data pipelines. Compensation ranges from $200,000 to $250,000 plus equity and excellent benefits, including unlimited vacation and a 401k match.