Jobs in the United States

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Added 8 mins ago
Sr Prin Security Engineer
Consumers Energy
JACKSON, MI
The Senior Principal Security Engineer will support the organization’s most critical security initiatives, serving as both a technical expert and strategic leader. This role is responsible…
Added 8 mins ago
Software Engineer
Meijer
Grand Rapids, MI
The Software Engineer, AI designs, develops, tests and supports AI-enabled software applications and services as a member of an Agile development team. This position is part of the AI team…
Added 8 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Lansing, MI · Detroit, MI · Southfield, MI · Grand Rapids, MI
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 8 mins ago
Mainframe Technical Engineer
Highmark Health
Lansing, MI
…including infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical professionals, analysts, and engineers to build and optimize…
Added 9 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Lansing, MI
…fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products…
Added 9 mins ago
Platform Engineer - Remote
SitusAMC
Lansing, MI
We are seeking a Senior Azure DevOps Administrator to own administration, governance, security, integrations, and continuous improvement of our Microsoft Azure DevOps environment. This role…
Added 9 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Lansing, MI
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 9 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Lansing, MI
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 33 mins ago
IT Software Engineer IV
Idaho Division of Human Resources
Boise, ID
Lead the design, development, modernization, and support of complex enterprise applications, integrations, APIs, data exchange solutions, and automation platforms.
Added 33 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Boise, ID
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 33 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boise, ID
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 1 hour ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Juneau, AK
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 1 hour ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Juneau, AK
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 1 hour ago
VP of Engineering
Jobgether
Remote, United States
Healthcare Integrations: Build and maintain integrations with health systems, pharmacies, logistics providers, and other external partners. Ensure seamless data exchange and efficient…
Added 1 hour ago
Snowflake Data Engineer
EXL Talent Acquisition Team
NY
We are looking for an experienced, hands-on Data Engineer with strong expertise in Fivetran, dbt, Snowflake, and modern cloud data engineering practices. The candidate should also have…
Added 1 hour ago
Infrastructure Specialist
Kyndryl, Inc.
Remote, United States
…solving challenging technical problems, designing seamless integrations and ensuring systems run reliably at every level. Your expertise across networks, endpoints and mainframes, paired…
Added 1 hour ago
AWS DevOps/Security Engineer Senior/Architect
Jobgether
Remote, United States
…next steps. Our partner is looking for an AWS DevOps/Security Engineer Senior/Architect based in the United…
Added 2 hours ago
IS
Quality Analyst Engineer - Senior
Information Systems
United States
- $120,000 to $135,000 USD / year
· Acquiring and maintaining an in-depth understanding of the technical and functional architecture, security, and compliance requirements of assigned software systems and integrations.
Added 2 hours ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
Engage with external clients to support integrations and drive successful adoption of the technical platform.
Added 2 hours ago
Senior Technical Consultant - CTEM / Vulnerability Management Engineer
Jobgether
Remote, United States
…Senior Technical Consultant - CTEM / Vulnerability Management Engineer based in the United…
Added 2 hours ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Pierre, SD
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 2 hours ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Pierre, SD
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 2 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 2 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 2 hours ago
IT Software Engineer, EA EPS
Micron Technology, Inc.
Boise, ID
Understand end-to-end business processes, system integrations, and data flows across enterprise planning platforms, and assess upstream and downstream impacts of application and software…

OKX

Staff Machine Learning Engineer（Risk Intelligence/AI Agent）

San Jose, CA, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

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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