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Machine Learning Engineer - Risk & AI

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Machine Learning Engineer - Risk & AI in USA new

  • San Jose, CA

Responsibilities

  • Build, evaluate, deploy, and monitor machine learning models for fraud and risk detection.
  • Improve data quality, feature engineering, and model performance while balancing fraud detection with customer experience.
  • Develop AI agents for investigations, case summarization, evidence retrieval, and routine workflow automation.
  • Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating generated code.
  • Collaborate with engineering, product, risk, analytics, and operations teams to deploy solutions and measure their impact.

Requirements

  • Strong machine learning foundation with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM.
  • Strong Python skills and experience training, evaluating, and deploying models.
  • Practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation; prototypes and personal projects are acceptable.
  • Regular use of AI coding tools with the ability to understand, test, and improve generated code.
  • Familiarity with databases and data pipelines for training-data preparation and ML workflows.
  • Experience with account takeover, scam detection, fraud, or other risk use cases is preferred.
  • Experience with LLM training, fine-tuning, evaluation, alignment, reinforcement learning, real-time ML systems, imbalanced datasets, or model explainability is preferred.
  • Fluency in Mandarin is preferred.
  • Strong problem-solving, communication, and collaboration skills.

Benefits

  • Competitive total compensation package, including possible performance bonus and long-term incentives.
  • Learning and development programs, team-building programs, company events, wellness allowances, and meal allowances.
  • Comprehensive healthcare schemes for employees and dependants.
  • Hybrid work arrangement, as indicated by the #LI-HYBRID posting designation.

Salary: $215k - $322k/yr

OKX

At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have develop...

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