Role overview
As a Machine Learning Engineer on Worldcoin's Security Team, you will be involved in deploying our hardware device to unsecured environments while maintaining the overall integrity of the system. In this role, you will be responsible for advancing the state-of-the-art fraud detection system on our device. On a high level, some of the questions you will be facing are:
- Which features of a human are reliable to detect and hard to fake?
- Is the object in front of the device a real human?
- How can we effectively mitigate fraud while preserving the user’s privacy?
Since Worldcoin can only achieve global coverage with sufficient security in place you directly impact the success of the project. In this role, you will work closely with different teams to collect data as well as design and implement fraud detection algorithms. These will be iteratively deployed in field tests, as well as attacked by internal and external red teams. Specifically, this role includes tackling problems like:
- Implement vision based fraud detection algorithms
- Extract features from video and sensor streams
- Train robust models and attack them yourself
- Deploy algorithms to the field and monitor them
- Think about further robust fraud detection algorithms & test hypotheses
- Pass on data collection & defense implementation requirements to IoT team
- If desired and appropriate your responsibility can be increased over time and include project management tasks