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Added 3 mins ago
G
Senior Civil Engineer (Public Sector)
GPAC
Jacksonville, FL
- $130,000 to $150,000 USD / year
Provide staff leadership, development and accountability
Added 4 mins ago
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Sr. Electrical Engineer/Project Manager
GPAC
Dallas, TX
- $95,000 to $155,000 USD / year
A reputable and established multi-disciplinary Engineering firm is looking for a Senior Electrical Engineer/Project Manager, with a passion to deliver excellence! This firm works hard to…
Added 4 mins ago
G
Sr. Electrical Engineer/Project Manager
GPAC
Columbus, OH
- $95,000 to $155,000 USD / year
A reputable and established multi-disciplinary Engineering firm is looking for a Senior Electrical Engineer/Project Manager, with a passion to deliver excellence! This firm works hard to…
Added 5 mins ago
A
Chemical Engineer
Actalent
Merton, WI
- $100,000 to $135,000 USD / year
…spans both laboratory and manufacturing areas. The Chemical Engineer works closely with R&D teams, chemists, other engineers, maintenance staff, and all operations personnel to implement…
Added 7 mins ago
Sr. Controls Engineer, Data Center, Colocation Regional Engineering - AMER
Amazon
Boardman, OR
As a Controls Colo Engineer, you will work with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact…
Added 7 mins ago
Electrical Engineer - Power System Protection (Transmission) Job Details | Black & Veatch Family of Companies
Black & Veatch
Tualatin, OR
Electrical Engineer - Power System Protection (Transmission)
Added 7 mins ago
Senior Geothermal Consultant Job Details | Black & Veatch Family of Companies
Black & Veatch
Tualatin, OR
…and detailed design while collaborating across subsurface, process/mechanical, and power systems…
Added 7 mins ago
Staff Interior Trim Design & Release Engineer
Rivian
Irvine, CA
Added 7 mins ago
Lead Engineer
PwC
Portland, OR
As a Lead Engineer you will guide the design, build, testing, and modernization of custom applications across cloud-native and on-premise environments, using modern engineering approaches,…
Added 7 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Salem, OR
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 7 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Salem, OR
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 9 mins ago
Data Center Chief Engineer, ATL89
Amazon Data Services, Inc.
Covington, GA
The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This…
Added 9 mins ago
Senior AI Engineer
Cornell University
Ithaca, NY
The Senior AI Engineer serves as the technical lead for the AI Engineering team, providing expert‑level guidance, architectural leadership, and hands‑on development in support of Cornell’s…
Added 13 mins ago
G
Sr. Electrical Engineer/Project Manager
GPAC
Dallas, TX
- $95,000 to $155,000 USD / year
A reputable and established multi-disciplinary Engineering firm is looking for a Senior Electrical Engineer/Project Manager, with a passion to deliver excellence! This firm works hard to…
Added 13 mins ago
G
Sr. Electrical Engineer/Project Manager
GPAC
Columbus, OH
- $95,000 to $155,000 USD / year
A reputable and established multi-disciplinary Engineering firm is looking for a Senior Electrical Engineer/Project Manager, with a passion to deliver excellence! This firm works hard to…
Added 15 mins ago
Supt, Area Substations
Entergy
Senatobia, MS
…responsibility for the safety culture within the workgroup. Supervises a staff of substation mechanics, relay mechanics, utility foremen and contractors to maintain substation operations…
Added 15 mins ago
Production Supervisor - 2nd shift
Siemens Energy
Richland, MS
As member of the operations team the production supervisor is responsible for overseeing the manufacturing process of customized products according to customer specifications and quality…
Added 15 mins ago
Infrastructure Engineer II
Emergent Holdings, Inc.
Corinth, MS
SUMMARY: The Infrastructure Engineer II role is responsible for the operations of secure and highly available computing platforms, servers, and networks. This role is responsible for…
Added 15 mins ago
Infrastructure Engineer I
Emergent Holdings, Inc.
Jackson, MS
Job Description: SUMMARY: The Infrastructure Engineer I role is responsible for the operations of secure and highly available computing platforms, servers, and networks. This role is…
Added 15 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Jackson, MS
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 31 mins ago
ZT
2027 Summer Internship (US) - Software/AI Engineer (Handheld Mobile Computers)
Zebra Technologies
Holtsville, NY
- $33 to $40.5 USD / hour
Added 31 mins ago
Engineer Transmission and Distribution Planning
Orange & Rockland Utilities Inc.
MONSEY, NY
Under general supervision, the Engineer will support Engineering Planning to enhance the distribution and transmission systems ensuring safe and reliable power delivery. Responsibilities…
Added 32 mins ago
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Staff Engineer – Heat Transfer
Carrier
East Syracuse, NY
- $96,000 to $192,000 USD / year
…Excellence is seeking a motivated, results-oriented and experienced Staff Engineer to join our team. The candidate will be a key member of the team providing advanced heat exchanger…
Added 33 mins ago
Technical Manager - Software Engineering
L3Harris
Rochester, NY
…the organizational unit. Acts as an advisor to subordinate staff members to meet schedules, resolve technical or operational…
Added 33 mins ago
Research Engineer , Quick Science
Amazon
New York, NY
A Research Engineer in the AWS Agentic AI team has the following responsibilities:

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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