Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin; New York City
USD 175K-312K (estimate) Senior-level Full Time
Tasks
- Apply privacy preserving machine learning methods
- Collaborate with engineering security program management and business partners
- Deploy machine learning systems for real time fraud prevention
- Detect fraud using classification clustering and anomaly detection
- Develop on device machine learning models
- Integrate models into device level intelligence systems
- Optimize model size and inference latency
- Process and analyze large scale distributed data
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Classification | Clustering | Data Processing | Distributed Computing | Fraud Detection | Java | Machine Learning | Model Compression | Privacy-preserving | Privacy-preserving machine learning | Python | Ray | Real Time | Real-time Inference | Scala | Spark
Education
N/A
Regions
Countries
States
Cities
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