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Added 13 mins ago
PC
Quality Engineer
Precision Castparts Corp. (PCC)
Wilder, KY
- $7.25 USD / hour
Research, write and recommend changes to procedures, work instructions and forms.
Added 13 mins ago
SI
Senior Project Manager - Federal
STV, Inc.
Louisville, KY
- $7.25 USD / hour
…Buildings practice. The ideal candidate is a licensed Professional Engineer (PE) or Registered Architect (RA) with 10+ years of experience leading the design and delivery of Federal and…
Added 28 mins ago
ES
Office 365 Engineer
Element Solutions Inc
Apex, NC
- $50,000 to $65,000 USD / year
Reporting to the Global Director Engineer this role is responsible for delivering, managing and enhancing the company’s cloud messaging capabilities via the Microsoft Office 365 platform.…
Added 44 mins ago
Test Coordinator
CACI International
Fort Belvoir, VA
As a test engineer supporting Product Manager Soldier Tactical Reconnaissance, Intelligence and Kinetic Effects (STRIKE) within the Portfolio Acquisition Executive Layered Protection you…
Added 44 mins ago
Substation Operations Technical Spec II
Dominion Energy
GLEN ALLEN, VA
…transformers, circuit breakers and substation DC battery systems. Research databases to identify systemic issues and report recommendations to leadership. Assist with the development of…
Added 45 mins ago
Data Engineer, Senior
BOOZ, ALLEN & HAMILTON, INC.
Charlottesville, VA
…unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an…
Added 45 mins ago
Nuclear Mechanical Engineer 2 - 31050
HII
Newport News, VA
…operational readiness of the Fleet. As an Nuclear Mechanical Engineer 2, you will contribute to complex overhaul and modernization initiatives by developing engineering solutions, preparing…
Added 45 mins ago
Nuclear Engineer 3 - 31033
HII
Newport News, VA
Research and develop processes, tooling, and material requirements to support nuclear propulsion work.
Added 45 mins ago
Engineer Nuclear 1 - 30456
HII
Newport News, VA
Conducts research on new materials of special interest in nuclear reactors.
Added 45 mins ago
Nuclear Engineer 2 - 31046
HII
Newport News, VA
Research and develop processes, tooling, and material requirements to support nuclear propulsion work.
Added 45 mins ago
Cloud Solutions Engineer
Office of the Director of National Intelligence
McLean, VA
…science, information systems management, mathematics, operations research, statistics, or technology management or degree that provided a minimum 24 semester hours in one or more of the…
Added 1 hour ago
Electrical Systems and Controls Engineer - Remington
The Kinetic Group Operations LLC
Lonoke, AR
Added 1 hour ago
Systems Integration Lead / Process Engineer
Clear Labs
San Carlos, CA
…Principal level - ideally including work translating early-stage or research-originated protocols into scaled automated…
Added 1 hour ago
Clerk III - Weekend Day Shift
GXO Logistics
Lebanon, IN
We engineer faster, smarter, leaner supply chains.
Added 1 hour ago
Cost Planning Principal Engineer
Honda Dev. and Mfg. of Am.,LLC
Raymond, OH
The Cost Planning Engineer deeply understands the Design Category's cost situation. This position can identify concerns with cost accuracy or efficiency and suggest options for cost…
Added 2 hours ago
Fmcg Strategic Marketing Senior Manager
KOCH INDUSTRIES INC
HUDSON, WI
Added 2 hours ago
Electrical Engineering Intern
CLASEN QUALITY CHOCOLATE
MILTON, WI
…Distribution. This person will work closely with the site Electrical Engineer & Electrical Engineering Manager. Essential Duties and Responsibilities include the following. Other duties as…
Added 2 hours ago
Fmcg Strategic Marketing Senior Manager
KOCH INDUSTRIES INC
HUDSON, WI
Added 2 hours ago
Fmcg Strategic Marketing Senior Manager
KOCH INDUSTRIES INC
HUDSON, WI
Added 2 hours ago
Infrastructure Engineer II
EMERGENT HOLDINGS, INC.
NEW BERLIN, WI
Added 2 hours ago
Infrastructure Engineer I
EMERGENT HOLDINGS, INC.
NEW BERLIN, WI
Added 2 hours ago
Electrical engineer
BERNERS-SCHOBER ASSOCIATES INC
GREEN BAY, WI
Added 2 hours ago
Infrastructure Engineer
AMERICAN FOODS GROUP LLC
GREEN BAY, WI
Added 2 hours ago
Data Systems AI / ML Engineer
Oak Ridge National Laboratory
Oak Ridge, TN
The Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL) is seeking a Data Systems AI/ML Engineer for its Earth Sciences Informatics portfolio. In this role, you…
Added 2 hours ago
GD
CMSS Advanced Software Engineer (SATCOM and EW)
General Dynamics Mis
Colorado Springs, CO
- $118,519 to $131,482 USD / year
As a software engineer for CMSS , you'll be a member of a cross functional team responsible for analysis and resolution of security findings, design and implement complex system…

Closed listing

OKX

Staff Machine Learning Engineer（Risk Intelligence/AI Agent）

San Jose, CA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Nov 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

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