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GI
Staff Manager, Product Security Response
GitHub, Inc.
United States
- $144,600 to $383,500 USD / year
● Certified Information Systems Security Professional (CISSP), GIAC Certified Incident Handler (GCIH), or other relevant certification.
Added just now
GD
Practice Manager, Investment Funds
Gibson Dunn
Washington, DC
- $230,000 to $280,000 USD / year
…collaboration with a number of firm departments, including Professional Development, Marketing & Client Development, Knowledge Management, Communications, Recruiting, Diversity, Career and…
Added just now
Field Enablement Manager
HG Insights
Remote, United States
…families, a monthly wellness reimbursement and access to Able To professional mental health coaching for stress, anxiety and depression support as per the regions. For your financial…
Added just now
Senior Pre-Sales Infrastructure/Network Design Engineer
ewminds consulting Services
New York, NY
10+ Years of Experience: Extensive professional experience in UX/UI, product design, or a related design discipline. Ten years is preferred but not mandatory.
Added just now
Software AI Engineer
neurohire.ai
Remote, United States
This position is ideal for an early-career professional who is passionate about programming, artificial intelligence, machine learning, and building innovative technology solutions.
Added just now
Site Reliability Engineer
neurohire.ai
Remote, United States
This position is ideal for an early-career professional who is passionate about cloud computing, system administration, automation, infrastructure management, and building reliable…
Added 1 min ago
T
Director, Government Relations
Twenty
Arlington, VA
- $193,000 to $242,000 USD / year
…act on. This is a hands-on role for a government relations professional who can set direction, represent the company credibly and carry the work…
Added 1 min ago
LG
Assistant Financial Controller
LANGTON GREEN INC
ANNAPOLIS, MD
- $90,000 to $105,000 USD / year
We are looking for a detail-oriented accounting professional with strong analytical skills, a collaborative approach, and the ability to improve financial processes through technology,…
Added 2 mins ago
AB
Teller
Associated Bank, NA
United States
- $17 to $22.96 USD / hour
Deliver friendly, professional customer service that reflects Associated Bank’s brand promise.
Added 2 mins ago
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Teller
Associated Bank, NA
United States
- $17 to $22.96 USD / hour
Deliver friendly, professional customer service that reflects Associated Bank’s brand promise.
Added 2 mins ago
IC
AI Software Development Engineer
Intel Corporation
CA
- $149,750 to $275,580 USD / year
…experience, OR Master's degree with 3+ years, OR Ph.D. with no prior professional…
Added 2 mins ago
DI Team Lead
Riskified
NY
6+ years of experience in professional services / software / data engineering roles
Added 2 mins ago
Learning and Development Specialist
Auris Health Inc. Legal Entity
Santa Clara, CA · Milpitas, CA
Added 2 mins ago
Sales Data Analytics Intern
CrowdStrike, Inc.
Sunnyvale, CA · Arlington, VA
Professional development opportunities including workshops, tech talks, and Executive Speaker Series
Added 2 mins ago
Sales Tech Internship- Summer 2027
CrowdStrike, Inc.
Arlington, VA · Redmond, WA · Sunnyvale, CA
Professional development opportunities including workshops, tech talks, and Executive Speaker Series
Added 2 mins ago
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Manager, Engineering
Prosper
United States
- $200,000 to $220,000 USD / year
Professional & personal growth: Take advantage of a suite of premium perks, including Udemy access, childcare assistance, pet insurance, and a bevy of additional savings through Beneplace
Added 2 mins ago
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Territory Sales Representative / Restaurant Specialist - Stateside, NV
SpotOn
Stateside, NV
- $120,000 to $275,000 USD / year
- Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development
Added 2 mins ago
NT
Business Development & Partnerships Manager
Norbeck Technologies Inc
Clinton, MD
- $25 to $40 USD / hour
…including certified MBE (CRMSDC) status, SDVOSB standing, and professional memberships - to open doors with enterprise buyers and prime…
Added 3 mins ago
Software Engineer 3
Kiewit
Lenexa, KS
…across Kiewit’s district portfolio. This role is ideal for a developer who has outgrown pure implementation and is ready to think at the systems level - shaping how applications are…
Added 3 mins ago
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Inside Sales, ISR 3 Specialist - Collaboration
HP
Rio Rancho, NM
- $60,000 to $70,800 USD / year
Added 3 mins ago
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Inside Sales, ISR 3 Specialist - Collaboration
HP
Rio Rancho, NM
- $60,000 to $70,800 USD / year
Added 3 mins ago
H
Inside Sales, ISR 3 Specialist - Collaboration
HP
Rio Rancho, NM
- $60,000 to $70,800 USD / year
Added 3 mins ago
New Home Specialist
EASTWOOD HOMES
Altanta, GA
Participate in sales meetings, ongoing training, and professional development opportunities.
Added 3 mins ago
NA
Member of the Technical Staff
Norm Ai
New York City, NY
- $250,000 to $400,000 USD / year
Norm builds AI-native professional services firms and the technology that powers them. Our mission is to help expert professionals deliver better work at greater scale.
Added 3 mins ago
Senior Staff Software Engineer, Android & IoT
PatientPoint
Remote, United States
…including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of…

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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