- Austin, Texas, United States +1 more
- On-site
- Full-time
Develop and launch on-device machine learning technologies to keep users safe from fraud while maintaining privacy, designing models that work within resource constraints like model size and inference budgets.
Locations (2)
- Austin, Texas, United States
- New York City, New York, United States
Responsibilities
- Develop and launch on-device technologies that keep users safe
- Work closely with engineering, security, program management, and business partners
- Build models that run in real time and in the background on the device
- Anticipate fraud rather than react to patterns
- Take ownership of a problem area
Requirements
- Nice to have: on-device deployment
- Nice to have: model compression
- Nice to have: optimizing for inference budgets
- Nice to have: Spark
- Nice to have: Ray