AI Threat Detector

1 day ago

Sydney, New South Wales, Australia beBeeFraud Full time $180,000 - $250,000
Protect Our Ecosystem as an AI Scientist

We are seeking a skilled AI Scientist to build intelligent systems that secure our users and ecosystem.

You will leverage the latest advancements in graph ML, transformers, and behavioral analytics to address some of the most critical threats today.

  • Identity Risk: Fake KYC profiles, identity farming, synthetic user creation
  • Account Takeover (ATO): Compromised credentials, anomalous login behavior, device takeover
  • Toll Fraud & Drainers: Gas draining contracts, malicious token airdrops, phishing-induced approval scams
  • Money Laundering: Cross-chain obfuscation, mixer usage, layering and integration strategies
  • Campaign Reward Abuse (Treaty Hunters): Multi-account farming, airdrop exploitation, referral & cashback fraud across marketing programs

Responsibilities include designing, building, and deploying AI models using transformer architectures, GNNs, and unsupervised learning for anomaly and abuse detection, as well as collaborating with engineering, product, compliance, and security teams to build end-to-end machine learning systems that detect, explain, and prevent these behaviors in real time.

Key Skills:
  • Graph machine learning, GNNs, and clustering algorithms
  • Transformer models and attention mechanisms
  • Fraud detection techniques, including anomaly detection and behavioral scoring
  • Feature engineering from high-dimensional, noisy, and heterogeneous data sources
  • Proficiency in Python and ML frameworks like PyTorch/TensorFlow

This is a great opportunity to work on cutting-edge risk systems that secure one of the world's most active trading ecosystems in a collaborative, fast-paced environment that values ownership, speed, and innovation.

A competitive compensation package and equity opportunities for senior candidates are available.

In this role, you will be working closely with cross-functional teams to design, develop, and deploy AI-powered solutions to protect our users and ecosystem.

The ideal candidate will have a strong background in AI, ML, and programming languages such as Python, as well as experience working with large datasets and developing scalable machine learning models.

We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

The successful candidate will be able to demonstrate their skills and experience in AI, ML, and programming, as well as their ability to work effectively in a team environment.

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