Base Salary
$224k - $268k/yr
Responsibilities
- Design, build, and deploy machine learning models for payment fraud, account takeover, scam detection, deposit and withdrawal risk, promotional abuse, customer risk assessment, and transaction monitoring.
- Own production ML systems end to end, including feature pipelines, training workflows, model serving, decision integrations, monitoring, alerting, drift detection, retraining, and incident response.
- Translate models into production risk controls such as approval, rejection, review, cooldown, limit adjustment, and account restriction actions.
- Partner with risk operations to incorporate investigation feedback, improve explainability, and refine labels and training data.
- Use AI-assisted development for implementation, testing, debugging, analysis, and documentation while maintaining security and review standards.
- Develop AI-powered investigation capabilities including agents for case summarization, evidence collection, review recommendations, alert triage, suspicious-entity mining, and decision support.
- Move research-stage models into reliable production by validating feature logic, data quality, latency, scalability, and consistency between offline training and online inference.
- Ensure models and decision systems are explainable, traceable, documented, and suitable for internal governance and regulatory review.
- Build production-grade LLM-agent architectures with tool calling, retrieval-augmented generation, workflow orchestration, structured outputs, memory, guardrails, and human-in-the-loop controls.
- Create evaluation frameworks for agent accuracy, task completion, decision consistency, latency, cost, reviewer acceptance, and operational impact.
- Implement agent safety controls including permissions, audit logs, data privacy protections, prompt and tool security, fallbacks, and escalation paths.
Requirements
- Significant professional experience in machine learning engineering, applied data science, or a closely related field, with experience taking models from prototype to production.
- Strong Python skills and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, XGBoost, LightGBM, or scikit-learn.
- Knowledge of supervised learning, anomaly detection, representation learning, class-imbalanced modeling, model calibration, and evaluation under changing data distributions.
- Regular use of LLM coding tools and experience building AI-integrated workflows or applications, including awareness of security, reliability, and governance risks.
- Familiarity with model explainability techniques such as SHAP, feature attribution, reason-code generation, and model scorecards.
- Hands-on experience designing and deploying production LLM agents using agentic workflows, tool calling, retrieval-augmented generation, prompt and context management, structured outputs, and multi-step orchestration.
- Experience integrating LLM agents with internal systems, APIs, databases, search tools, case-management platforms, or decision engines.
- Understanding of LLM-agent evaluation and reliability, including hallucination control, grounding, observability, permissions, failure handling, human review, latency, and cost optimization.
- Experience building AI agents for fraud, risk, compliance, customer operations, cybersecurity, or other high-stakes domains is advantageous.
- Strong communication and collaboration skills across engineering, data science, risk, product, operations, legal, and compliance teams.
Benefits
- Performance bonus and long-term incentives may be provided in addition to salary.
- Medical, financial, and other benefits may be available depending on the position.
- The role is offered through OKX/Okcoin internal or external careers sites.
Categories
About 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 developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. We believe in good sportmanship and the pursuit to be better. You may see our OKX logo neatly fitted on the McLaren F1 cars, Manchester City FC team shirts, or at the Tribeca Film Festival celebrating artists and creators. Wherever you may find us, you will notice our pursuit of making our world more efficient, transparent, and connected. To learn more about OKX, download our app or visit: www.okx.com UK users follow: https://www.linkedin.com/company/okxuk/ Learn more about working at OKG, the business group developing OKX, our Digital Assets Exchange, our Web3 portal and blockchain ecosystems: bit.ly/WorkingatOKG