Responsibilities
- Develop and implement machine learning models for risk-related applications including fraud detection, account security, scam identification, transaction oversight, promotional misuse, and customer risk profiling.
- Manage full lifecycle production ML systems, covering feature engineering, model training, deployment, decision integration, monitoring, drift detection, retraining, and incident resolution.
- Collaborate with risk and product teams to operationalize models into actionable risk controls such as approvals, denials, reviews, cooldowns, limit changes, and account restrictions.
- Engage with risk operations to understand case workflows, integrate feedback, enhance model interpretability, and refine training datasets and labeling processes.
- Leverage AI-assisted development tools, including LLM-based coding assistants, to accelerate engineering tasks while upholding security and code review standards.
- Create AI-driven risk solutions such as automated investigation tools, case summaries, evidence aggregation, review suggestions, alert prioritization, entity analysis, and decision support systems.
- Transition experimental models from research to robust production environments by validating features, ensuring data integrity, optimizing for latency and scale, and aligning offline and online behavior.
- Ensure models and decision logic are transparent, traceable, and thoroughly documented for use by operations, product teams, governance, and regulatory bodies.
- Design and deploy LLM-powered agents to support risk investigations, including case routing, evidence gathering, transaction evaluation, alert summarization, and action recommendations.
- Build scalable, production-ready agent systems using tool integration, retrieval-augmented generation, workflow orchestration, structured outputs, memory management, safety controls, and human oversight.
- Establish evaluation frameworks for LLM agents to assess accuracy, task success, consistency, speed, cost, user acceptance, and operational effectiveness.
- Guarantee safe operation of LLM agents in regulated environments through access controls, audit trails, data privacy, prompt security, fallback protocols, and escalation procedures.
Benefits
- Comprehensive medical, financial, and additional benefits based on role eligibility.
Compensation
$214,666 to $321,999 base salary, with performance bonus and long-term incentives available.
Work Arrangement
Remote (Worldwide)
Other
- The base salary range for this position is $214,666 to $321,999.
- A performance bonus and long-term incentives may be provided as part of the compensation package.
- Full range of medical, financial, and/or other benefits, dependent on the position offered.
- Applicants should apply via Okcoin and OKX internal or external careers site.
- OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
