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Site Reliability Engineer I
US: Mastercard Technologies, LLC
O'Fallon, MO
The Service Operations Technology (SOT) BizOps team is seeking a Site Reliability Engineer I to support and continuously improve enterprise infrastructure, configuration management,…
Added 1 min ago
MC
Spacecraft Flight Dynamics Engineer
Motive Companies
Santa Monica, CA
- $150,000 to $190,000 USD / year
…solutions for commercial, scientific, and national security…
Added 1 min ago
MC
Embedded Flight Software Engineer
Motive Companies
Santa Monica, CA
- $130,000 to $180,000 USD / year
…solutions for commercial, scientific, and national security…
Added 1 min ago
Senior Engineer- Current Product
Brunswick
Fond du Lac, WI
…and parts for recreational, commercial and government marine applications. Mercury empowers boaters with products that are easy to use, extremely reliable and backed by the most dedicated…
Added 1 min ago
PBU Applications Engineer - AI & Nigel
Emerson
Austin, TX
Senior PBU Applications Engineer - AI & Nigel
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Production Manager II
Federal Signal
Post Falls, ID
We are a “Solution Driven” manufacturer for the mining industry. At Ground Force Worldwide we design, engineer and manufacture the World’s Finest Mine Support Equipment. We offer a diverse…
Added 2 mins ago
Production Manager I
Federal Signal
Post Falls, ID
We are a “Solution Driven” manufacturer for the mining industry. At Ground Force Worldwide we design, engineer and manufacture the World’s Finest Mine Support Equipment. We offer a diverse…
Added 2 mins ago
Applications Engineer
Merrick & Company
Greenwood Village, CO
The Applications Engineer is responsible for the administration, configuration, maintenance, and support of enterprise business applications, ensuring their reliability, performance, and…
Added 2 mins ago
Software Engineer, Machine Learning
ON, CA
…are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or…
Added 2 mins ago
Lead Software Test Framework Engineer
ON, CA
We are searching for a Software Test Framework Engineer Lead to be a part of the QCT AI Proc Solution team responsible for design and integration of leading edge technologies in the area of…
Added 2 mins ago
Electrical Engineer - Services Sustaining
Vertiv
Westerville, OH
The Electrical Engineer will contribute to Service’s support, upgrade design projects, and handle small-scale designs with guidance. Participate in New Product Development Service Readiness…
Added 2 mins ago
CF
Machinist
Celeros Flow Technology
Pasadena, TX
- $38 to $40 USD / hour
Celeros Flow Technology is helping to engineer a more sustainable future by developing products for emerging carbon capture and storage applications, new nuclear, and renewable energy while…
Added 2 mins ago
Machine Shop Supervisor
Celeros Flow Technology
Houston, TX
Celeros Flow Technology is helping to engineer a more sustainable future by developing products for emerging carbon capture and storage applications, new nuclear, and renewable energy while…
Added 2 mins ago
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Pump Mechanic
Celeros Flow Technology
Pasadena, TX
- $35 to $38 USD / hour
Celeros Flow Technology is helping to engineer a more sustainable future by developing products for emerging carbon capture and storage applications, new nuclear and renewable energy, while…
Added 2 mins ago
Senior Electrical Engineer
Worley
AB, CA
As a Senior Power Systems Engineer with experience in large industrial facilities, you will work within multi-disciplinary teams involved in integrated power system plans,…
Added 2 mins ago
Mechanical Engineer
Worley
AB, CA
As an Intermediate Mechanical Engineer at Worley, the successful candidate will be a part of a global team that delivers excellent project services to our customers in Alberta and…
Added 3 mins ago
Supervising Professional Engineer
St Johns River Water Management District
Palatka, FL · Apopka, FL · Palm Bay, FL
Review and respond to submittals, requests for information (RFIs), change orders, and payment applications, coordinating with the Engineer of Record and project manager as needed.
Added 4 mins ago
RT
Senior Electrical Engineer (Power and Analog)
RocketForce Technologies LLC
Los Angeles, CA · Mason, OH · Redmond, WA
- $120,000 to $180,000 USD / year
We are seeking an Electrical Engineer to design, analyze, and test power and analog electronics for space applications, including satellites, spacecraft, and future lunar power…
Added 4 mins ago
Process Engineer II/III - API (Recovery) Mon-Fri shift
Novo Nordisk
Clayton, NC
Added 4 mins ago
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Project Manager - Water Resources
RK&K
Baltimore, MD
- $63.11 to $69.77 USD / hour
Detail project analysis and prepare permit applications for oversight agencies to address the full range of environmental issues and conditions associated with water resources projects
Added 4 mins ago
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Water Resources Lead
RK&K
Baltimore, MD
- $70 to $85 USD / hour
Direct complex project analyses and oversee the preparation of permit applications and supporting documentation for regulatory and oversight agencies addressing environmental issues and…
Added 4 mins ago
Building Engineer I
Lincoln Property Company
Chicago, IL
The Building Engineer I is responsible for maintaining, operating, and troubleshooting building systems, including HVAC, plumbing, and electrical systems. This role focuses on performing…
Added 5 mins ago
NAMS2 - Software Engineer
Crown Innovations, Inc.
Mountain View, CA
Crown is looking for an experienced Software Engineer to work on the NAMS-2 project in Mountain View, CA to:
Added 5 mins ago
CI
Software Verification & Test Engineer
Crown Innovations, Inc.
Remote, United States
- $100,000 to $150,000 USD / year
…hardware/software integration testing for safety critical avionics applications. The selected engineer will develop and execute test cases, test scripts, procedures, and verification…
Added 5 mins ago
Lead, Software Engineer (DevOps Engineer)
L3Harris Technologies
Colorado Springs, CO
Experience designing, testing, and troubleshooting distributed applications, including concurrent processing, service coordination, and data consistency.

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.

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