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Added 2 mins ago
Case Manager / Utilization Review Nurse
Conway Regional
Conway, AR
Demonstrates ability to access and effectively utilize primary sources of data.
Added 2 mins ago
Director, Spirits Portfolio Strategy
Gallo
Dallas, TX
…other cross-functional leaders to translate complex commercial data into clear strategies, investment recommendations, and growth roadmaps. You’ll share accountability for Annual Operating…
Added 4 mins ago
DO
Engineer, Water Resources
Department of Water Resources
CA
- $6,488 to $12,152 USD / month
…of California with your insight, knowledge and modeling and data analysis skills? Discover your full potential and develop your career with us. The Central Valley Modeling Section is…
Added 7 mins ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Fresno, CA
- $80,000 to $140,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 7 mins ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Bakersfield, CA
- $80,000 to $140,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 7 mins ago
A
Mid-Level Civil Construction Engineer (4 years experience required)
AECOM
Sacramento, CA
- $80,000 to $140,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 7 mins ago
A
Risk Cost Analyst
AECOM
Sacramento, CA
- $120,000 to $205,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 7 mins ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Bakersfield, CA
- $80,000 to $120,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 7 mins ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Fresno, CA
- $80,000 to $120,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 7 mins ago
A
Civil Construction Engineer (2 years of experience required)
AECOM
Sacramento, CA
- $80,000 to $120,000 USD / year
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and…
Added 11 mins ago
Big Data Developer (Black Lotus Labs)
Lumen
Cheyenne, WY
We are seeking a Big Data Developer to build and optimize large-scale data solutions that help identify and disrupt malicious threats across the Internet. In this role, you'll leverage…
Added 11 mins ago
Associate Director, Clinical Outcome Assessments (COA)
Otsuka America Pharmaceutical Inc.
Cheyenne, WY
Build and maintain relationships with academic institutions, patient advocacy groups, clinical investigators, data vendors, and vendors relevant to assigned programs.
Added 11 mins ago
Equal Employment Manager
Veterans Affairs, Veterans Health Administration
Sheridan, WY
Added 11 mins ago
Wellness Coach
Highmark Health
Cheyenne, WY
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In…
Added 11 mins ago
Mainframe Technical Engineer
Highmark Health
Cheyenne, WY
CANDIDATE MUST BE US Citizen (due to contractual/access requirements)
Added 11 mins ago
Advanced Lead Supplier Quality Engineer - Composites
GE Aerospace
Cheyenne, WY
Demonstrated history of problem solving, root cause and corrective action methodology, data analysis and quality experience
Added 11 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Cheyenne, WY
…optimize the centralized levers the entire company depends on (access and identity, notifications, friending, cross-app linking, onboarding, SEO, and global distribution partnerships), and…
Added 11 mins ago
Senior Director, Global Clinical Development Psychiatry and Neurology
Otsuka America Pharmaceutical Inc.
Cheyenne, WY
Added 11 mins ago
Group Product Manager, Privacy
Ford Motor Company
Cheyenne, WY
Added 12 mins ago
E
Senior HR Business Partner
EchoStar
Englewood, CO · Littleton, CO
- $96,250 to $137,500 USD / year
Take a data-driven approach to recommending impactful human capital initiatives that have measurable returns on investment, including regularly conducting industry research and applying…
Added 13 mins ago
CO
Substitute Human Resources Specialist, Confidential (2 Vacancies) (WOOC/Substitute)
College of the Desert (CA)
Palm Desert, CA
- $38.68 to $56.02 USD / hour
…diversity in all forms and the right of all people to have access to quality higher education in a safe learning environment. Designated as a Hispanic-Serving Institution (HSI), College of…
Added 15 mins ago
Executive Assistant
MongoDB
CO
…innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data…
Added 17 mins ago
CO
Utility Central Control Operator
City of El Paso
El Paso, TX
- $23.57 to $34.88 USD / hour
…sites by means of a central computer system. Interpret computer data concerning water pressures, well production, reservoir levels, and equipment status in the distribution system. Turn…
Added 17 mins ago
I
Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
…services, including authentication, authorization, multi-tenancy, data isolation, and secrets…
Added 18 mins ago
VP, Product Management (Sales & Marketing)
Gartner
Stamford, CT · Irving, TX
…email automation, customer engagement technologies, and related data and analytics…

OKX

Staff Machine Learning Engineer（Risk Intelligence/AI Agent）

San Jose, CA, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

About the Opportunity

Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions - signals that very few organizations can analyze together.

The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experiences.

This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle - from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration.

You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team’s daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices.

What You’ll Be Doing

• Design, build, and deploy machine learning models for risk use cases such as 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.

• Partner with risk strategy and product teams to translate models into effective production controls, including approval, rejection, review, cooldown, limit adjustment, account restriction, and other risk mitigation actions.

• Work closely with risk operations teams to understand investigation workflows, incorporate reviewer feedback, improve model explainability, and continuously refine labels and training data.

• Apply AI-assisted development throughout the engineering workflow, using LLM coding tools to accelerate implementation, testing, debugging, analysis, and documentation while maintaining appropriate security and review standards.

• Develop AI-powered risk capabilities such as investigation agents, case summarization, evidence collection, review recommendations, alert triage, suspicious-entity mining, and automated decision support.

• Take research-stage models into reliable production systems by validating feature logic, reviewing data quality, addressing latency and scalability constraints, and ensuring consistency between offline training and online inference.

• Ensure models and decision systems are explainable, traceable, and well documented so that model outputs can be understood by risk operations, product stakeholders, internal governance teams, and regulators where applicable.

• Design, build, and deploy LLM-based agents for risk operations and investigation workflows, including case triage, evidence retrieval, transaction analysis, alert summarization, review recommendations, and automated action orchestration.

• Develop production-grade agent architectures using tool calling, retrieval-augmented generation, workflow orchestration, structured outputs, memory, guardrails, and human-in-the-loop controls.

• Build evaluation frameworks for LLM agents, measuring factual accuracy, task completion, decision consistency, latency, cost, reviewer acceptance, and operational impact. Ensure LLM agents operate safely in a regulated risk environment by implementing permission controls, audit logs, data privacy protections, prompt and tool security, fallback mechanisms, and clear escalation paths.

What We Look For in You

• Significant professional experience in machine learning engineering, applied data science, or a closely related field, with a strong record of taking models from prototype to production. Scope and level will be calibrated based on experience.

• Strong Python skills and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, XGBoost, LightGBM, or scikit-learn.

• Strong knowledge of applied machine learning fundamentals, including supervised learning, anomaly detection, representation learning, class-imbalanced modeling, model calibration, and evaluation under changing data distributions.

• Demonstrable fluency with AI-assisted engineering. You regularly use LLM coding tools, have built AI-integrated workflows or applications, and understand both the productivity benefits and the 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, including agentic workflows, tool calling, retrieval-augmented generation, prompt and context management, structured output generation, and multi-step task orchestration.

• Experience integrating LLM agents with internal systems, APIs, databases, search tools, case-management platforms, or decision engines to automate complex operational workflows.

• A strong 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 a meaningful advantage.

• Strong communication and collaboration skills, with the ability to work effectively with engineers, data scientists, risk specialists, product managers, operations teams, and legal or compliance stakeholders.

Notice:

All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website.

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