Anti-Fraud Risk Engineer

Job Description 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 based on different business product requirements 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. Qualifications 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 and the use of frameworks related to stream computing, such as Spark, Flink, etc., and familiarity with machine learning platforms Tensorflow, PyTorch, Mxnet, etc. Deep understanding and mastery of basic and deep‑learning algorithms, experience 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, with high‑quality papers published in conferences such as CVPR, ICCV, ICML, NIPS, etc. ACMICPC, NOI/IOI, TopCoder, Kaggle competition winners are preferred. Research experience related to graph learning and few‑shot learning is preferred. Language requirement: English; Mandarin is a plus. Additional Information All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr BloKchain Talent