Machine Learning Engineer II
Tasks
- Build production machine learning models
- Collaborate to strengthen machine learning pipeline
- Communicate complex ideas to executives
- Design experiments and collect data
- Develop distributed data pipelines
- Improve commerce protection platform components
- Research fraud patterns in real-time
- Review code in shared codebase
- Write production and offline code in Python
Perks/Benefits
- Health insurance
- Learning budget
- Mental wellbeing resources
- Paid Team Social Events
- Pension match
- Stock options
Skills/Tech-stack
Data Pipelines | Distributed data | Distributed data pipelines | Experiment design | Linux | Machine Learning | PySpark | Python | SQL | Statistical Analysis
Education
N/A
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