POSITION TITLE: Anti-Fraud Risk Engineer
LOCATION: Phoenix AZ
SALARY: Based on Experience
SPONSORSHIP: No
Responsibilities:
- Teamwork with different function teams to design abuse, porn, tele-fraud detection model base on different business product requirement and protection policy.
- Responsible for developing telephone anti-fraud, anti-spam, anti-pornography, anti-abuse registration and other services
- Responsible for the implementation and practice of related algorithms under the current mainstream stream computing platform
- Master’s degree + 2 years working experience in machine learning
- Proficiency in at least one programming language such as Java, Python
- Proficiency in big data, the use of frameworks related to stream computing, such as Spark, Flink, etc. And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc.
- The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery, and require the use of related algorithms, experience in the processing of common procedures in feature engineering, and excellent engineering practice capabilities
- Experience in algorithms such as, anti-fraud, telecommunication risk control, recommendation system, advertising orientation, click model, etc. is preferred
- Strong research capabilities, such as high-quality papers published in the field ** conferences such as CVPR, ICCV, ICML, NIPS, etc.
- ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred
- Research experience related to graph learning and few-shot learning is preferred
- Language requirement: English, Mandarin is plus
All your information will be kept confidential according to EEO guidelines.
