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Added 7 mins ago
O
Lead Principal Core Infrastructure Engineer
Oracle
Nashville, TN
- $146,300 to $306,400 USD / year
We are looking for a highly skilled and motivated distributed systems engineer who can architect solutions to scale and optimize AI infrastructure components like GPU control plane and GPU…
Added 7 mins ago
Senior Data Engineer
Keebo
Remote, United States
As a Senior Data Engineer, you'll design and scale the data pipelines and machine learning infrastructure behind our platform. You'll use AI to multiply your own output and the team's, and…
Added 12 mins ago
KC
Optical Engineer
KLA Corporation
Milpitas, CA
- $117,800 to $200,300 USD / year
The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards for technologies…
Added 20 mins ago
Solution Engineer - NYC
Justt
NYC, NY
We're seeking an experienced, independent Solution Engineer to join our growing New York team. This is a critical role requiring complete ownership of complex technical processes - from…
Added 20 mins ago
TT
Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
…chemical and industrial manufacturers. You will help deliver product features that automate complex commercial workflows and support the team's…
Added 22 mins ago
Agentic Context Engineer
Jobgether
Remote, United States
This is a hands-on opportunity to build and deploy enterprise AI solutions that transform fragmented business data into actionable intelligence. Working within a Field Engineering team, you…
Added 27 mins ago
J
Agentic-First Software Engineer (Miami)
Jiffy
Miami, FL
- $150,000 to $265,000 USD / year
…directly to an Engineering Manager and working closely with Product, GM's and other cross functional teams, you will lead the charge on delivering end-to-end features across our e-commerce…
Added 27 mins ago
J
Agentic-First Software Engineer (Relocate to Miami)
Jiffy
Austin, TX
- $150,000 to $265,000 USD / year
…directly to an Engineering Manager and working closely with Product, GM's and other cross functional teams, you will lead the charge on delivering end-to-end features across our e-commerce…
Added 27 mins ago
VP of Product
Leena AI
NY · New York, NY
Enterprise trust. Make data residency, audit trails, explainability, permissions and agent guardrails first-class product features, not RFP afterthoughts.
Added 28 mins ago
Engineer 4 -- Facilities Support Eng (Chemical)
Nuclear Fuel Services
Erwin, TN
Engineer 4 - (Facilities Support Eng) (Chemical Engineer)
Added 28 mins ago
Engineer 4 -- Facilities Support Eng (Chemical)
BWX Technologies, Inc.
Erwin, TN
Engineer 4 - (Facilities Support Eng) (Chemical Engineer)
Added 28 mins ago
Risk Management Engineer
Fresenius Medical Care
Knoxville, TN
…regulatory and business requirements for all site products/product lines assigned to location/business…
Added 28 mins ago
O
Senior Support Engineer - Oracle Health
Oracle
Nashville, TN
- $52,200 to $132,400 USD / year
Oracle Health is seeking an experienced Technical Support Engineer to join our team supporting Cerner Millennium solutions. In this role, you will be responsible for investigating,…
Added 34 mins ago
CO
Assistant Civil Engineer (Development Services)
City of Sacramento
Sacramento, CA
- $38.76 to $54.55 USD / hour
The Assistant Civil Engineer is a journey-level classification filled with multiple incumbents. Incumbents are responsible for performing moderately difficult professional engineering work…
Added 36 mins ago
C
Senior Full Stack Engineer - .NET & C#
Cognizant
Jefferson City, MO
- $86,000 to $99,000 USD / year
As a Senior Full Stack Engineer - .NET & C#, you will make an impact by designing and developing scalable enterprise applications that support healthcare payer operations, including…
Added 36 mins ago
C
Senior Java Full Stack Engineer - Spring Boot & AWS
Cognizant
Jefferson City, MO
- $86,000 to $99,000 USD / year
As a Senior Java Full Stack Engineer - Spring Boot & AWS , you will make an impact by designing and delivering scalable, secure, cloud-based applications using Java, Spring Boot, React, and…
Added 37 mins ago
I
Sr Test Engineer (Time and Frequency)
Infleqtion
Louisville, CO
- $106,000 to $141,000 USD / year
We are seeking a Senior Test Engineer to support the development and validation of an atomic clock product pilot line. This individual will join the New Product Introduction Team and work…
Added 37 mins ago
I
Quantum Integrations Engineer
Infleqtion
Remote, United States
- $145,000 to $170,000 USD / year
We are seeking a Quantum Integrations Engineer with expertise in distributed and cloud software systems and technical integrations and an enthusiasm for quantum software development.
Added 37 mins ago
I
Quantum Integrations Engineer
Infleqtion
Remote, United States
- $145,000 to $170,000 USD / year
We are seeking a Quantum Integrations Engineer with expertise in distributed and cloud software systems and technical integrations and an enthusiasm for quantum software development.
Added 37 mins ago
I
Staff Mechanical Systems IPT Lead
Infleqtion
Louisville, CO
- $185,000 to $210,000 USD / year
Strong CAD and product data experience, preferably with SolidWorks or equivalent tools and PDM/PLM release workflows.
Added 37 mins ago
I
Staff Systems Engineer (Time and Frequency)
Infleqtion
Louisville, CO
- $160,000 to $210,000 USD / year
…approach to innovation. We seek an experienced Staff Systems Engineer to support multidisciplinary government and commercial R&D…
Added 37 mins ago
I
Senior Supplier Quality Engineer
Infleqtion
Louisville, CO
- $155,000 to $185,000 USD / year
Evaluate supplier manufacturing processes, inspection data, and product conformity, with emphasis on precision machining, coatings, finishes, and mechanical assemblies.
Added 37 mins ago
I
Senior Opto-Mechanical Engineer (Quantum Computing)
Infleqtion
Remote, United States
- $155,000 to $185,000 USD / year
Within Infleqtion’s Quantum Computing Product Group, the Hardware Engineering Team seeks a Senior Opto-Mechanical Engineer as a senior designer responsible for the realization of precision…
Added 37 mins ago
I
Senior Opto-Mechanical Engineer (Quantum Computing)
Infleqtion
Remote, United States
- $155,000 to $185,000 USD / year
Within Infleqtion’s Quantum Computing Product Group, the Hardware Engineering Team seeks a Senior Opto-Mechanical Engineer as a senior designer responsible for the realization of precision…
Added 37 mins ago
I
Senior Materials and Process Engineer
Infleqtion
Louisville, CO
- $130,000 to $170,000 USD / year
We are seeking a Senior Materials and Process Engineer to own materials and manufacturing process development for the Quantum Gravity Gradiometer (QGG) program. This hands-on role turns…

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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