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Added 8 mins ago
Software Development Engineer- Product Reliability Engineering
Denver, CO
…milliseconds, across 200+ countries. As a Software Development Engineer on the Product Reliability Engineering (PRE) team, you won’t just watch those systems run- you’ll be one of the…
Added 15 mins ago
Manufacturing & Quality Engineer (H-53 Heavy Lift Helicopter)
Sabre Systems LLC
Patuxent River, MD
Sabre Systems is currently recruiting a Journeyman Manufacturing & Quality Engineer for the M&QE Division, in NAVAIR’s Systems Acquisition Group. The candidate will provide research…
Added 18 mins ago
ST
Sales Engineer - Unmanned Systems - United States (Remote)
Silvus Technologies, Inc.
Remote, United States
- $80,000 to $120,000 USD / year
Silvus Technologies was acquired by Motorola Solutions in 2025, and is now part of its ecosystem of safety and security technologies.
Added 20 mins ago
FH
Apprentice Engineer
Fred Hutchinson Cancer Center
Seattle, WA
- $30.29 to $43.34 USD / hour
The Fred Hutch Operating Engineer is a building maintenance technician responsible for independently performing tasks of a skilled nature necessary for the operation, maintenance, and…
Added 25 mins ago
Backend Software Engineer
Raydar
San Francisco, CA
…as a product moves into live production use. The work covers security, reliability, compliance controls and performance, with an emphasis on correctness and…
Added 34 mins ago
Network Engineer – Fortinet (FortiGate, SD-WAN, BGP/OSPF) – Onsite NYC
MaxIT Consulting - Max Corporate Group
New York · New York, NY
If you are a Fortinet-certified network engineer who enjoys solving complex network and security challenges, we would like to hear from you.
Added 34 mins ago
Network Security Engineer – Firewalls, Routing & SD-WAN
MaxIT Consulting - Max Corporate Group
New York · New York, NY
If you are a Fortinet-certified network engineer who enjoys solving complex network and security challenges, we would like to hear from you.
Added 39 mins ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
AI strategy, governance, and ethics, including evaluating AI opportunities, human oversight, AI security, and bias and fairness.
Added 44 mins ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
Serving as an AI Engineer on our AI Safety Engineering team, you will have a key and adaptable role in scaling methods to secure and align advanced AI systems. Your early work will center…
Added 55 mins ago
PN
Building Systems Research Engineer
Pacific Northwest National Laboratory
UNAVAILABLE
- $89,300 USD / year
Our Science & Technology directorates include National Security, Integrated Discovery Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences…
Added 1 hour ago
IT Security Engineer
CoolSys
UNAVAILABLE
We are seeking a mid-level Security Engineer to support security operations across a geographically distributed, multi-architecture environment. This role is intended for an engineer with 4…
Added 1 hour ago
IT Network Engineer
CoolSys
UNAVAILABLE
We are seeking a mid-level Network Engineer to support reliable connectivity across a geographically distributed, multi-site environment. This role is intended for an engineer with 4 to 8…
Added 1 hour ago
T
Network Engineer- CCNA
TEKsystems
Charlotte, NC
- $38 to $41 USD / hour
DescriptionWe are seeking a Network Engineer to provide advanced engineering support for the organization's global Data, Voice, Security, and Wireless networks. This role will have a…
Added 1 hour ago
Principal Engineer, Threat Hunting
T-Mobile USA, Inc.
Bellevue, WA · Overland Park, KS · Frisco, TX
The Principal Engineer, Threat Hunter is critical to protecting T-Mobile’s digital assets, serving on the Continuous Hunting and Offensive Specialists (CHAOS) team, T-Mobile’s elite…
Added 1 hour ago
Senior Backend Cloud Engineer
Halcyon
Remote, United States
Halcyon is the industry’s first dedicated, adaptive security platform that combines multiple proprietary advanced prevention engines along with AI models focused specifically on stopping…
Added 1 hour ago
Linux Software Engineer
Kastel Staffing
Huntsville, AL
We are seeking a UAS Linux Software Engineer to develop, integrate, and maintain the core software components that run on our drone platforms. This role focuses on the Linux‑based onboard…
Added 1 hour ago
Senior Advanced Manufacturing Engineer
Kastel Staffing
Torrance, CA
Senior Manufacturing Engineer – Advanced Aerospace & Defense
Added 1 hour ago
Senior GNC Engineer
Kastel Staffing
Moorpark, CA
We are seeking a Senior GNC Engineer IV with extensive experience in drone flight dynamics, control theory, state estimation, and autonomous flight systems. In this role, you will lead the…
Added 1 hour ago
Senior GNC Engineer
Kastel Staffing
Huntsville, AL
We are seeking a Senior GNC Engineer IV with extensive experience in drone flight dynamics, control theory, state estimation, and autonomous flight systems. In this role, you will lead the…
Added 1 hour ago
KC
Capital Project Manager III
King County
Seattle, WA
- $121,042.27 to $153,428.08 USD / year
Licensed Professional Engineer (PE) or Architect
Added 1 hour ago
Captain - 2027
American Cruise Lines
United States
Ensure safety and security of passengers, crew, and vessel.
Added 1 hour ago
Captain
American Cruise Lines
Savannah, GA
Ensure safety and security of passengers, crew, and vessel.
Added 1 hour ago
Captain
American Cruise Lines
Salt Lake City, UT
Ensure safety and security of passengers, crew, and vessel.
Added 1 hour ago
Captain
American Cruise Lines
Portland, OR
Ensure safety and security of passengers, crew, and vessel.
Added 1 hour ago
Captain
American Cruise Lines
Port Canaveral, FL
Ensure safety and security of passengers, crew, and vessel.

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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