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Added 20 mins ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
…fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence,…
Added 30 mins ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Drive technical decision-making while balancing business priorities, scalability, security, maintainability, and operational excellence.
Added 30 mins ago
Staff Engineer - Software Engineering
Capital One
Cambridge, MA
…process automation, offering transparent, real-time workflow observability with natural language data interactions. You won't just execute a roadmap, you will be a strategist defining which…
Added 53 mins ago
J
Lead Site Reliability Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 USD / year
In this role, you will play a key leadership role in driving cloud infrastructure modernization, automation, and operational excellence. You will design, build, and maintain scalable…
Added 57 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 57 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 57 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 57 mins ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 1 hour ago
Senior Backend Engineer - India
Lighthouz AI
Remote, United States
We're looking for a Backend Engineer with familiarity with front end tech to join our fast-growing engineering team. You'll play a key role in building and scaling the core infrastructure…
Added 1 hour ago
M
Senior Software Engineer
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
…specialized hardware. By providing a common platform for deployment, data collection, and operational health, the team enables other engineering teams to build, test, and operate quantum…
Added 1 hour ago
M
Senior Software Engineer
Microsoft
WA · CA · Redmond, WA · Mountain View, CA · Redmond · Mountain View
- $119,800 to $261,000 USD / year
We are looking for a Senior Software Engineer to build the telemetry and observability foundation behind business applications and emerging agent workloads. This is a hands-on software…
Added 2 hours ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Establish and enforce engineering quality standards, including secure-by-default practices, observability, testability, and operational readiness.
Added 2 hours ago
Senior Site Reliability Engineer, CloudOps
ICU Medical
Columbus, OH
Job Description Position Summary We are seeking a Senior Site Reliability Engineer, CloudOps to support, scale, and optimize a multi-account AWS environment hosting healthcare-oriented…
Added 2 hours ago
M
Principal Data Engineer
Microsoft
WA · Redmond, WA · Redmond
- $142,800 to $304,200 USD / year
Drive hands-on, end-to-end implementation: Build data solutions using Spark (or similar distributed systems), open table formats such as Delta Lake, and Parquet files; develop scalable,…
Added 3 hours ago
IR
Digital Workplace Platform Administrator
International Rescue Committee
Remote, United States
- $88,277 to $102,451 USD / year
The AI Platform Engineer is that person. This is a technical operations role, not a user-facing one. This role is responsible for keeping the IRC's enterprise AI environment running…
Added 3 hours ago
PN
Lead Software Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $161,300 USD / year
We are seeking an exceptional Lead Software Engineer to architect and build next-generation SI systems at PNNL, spanning agentic SI platforms, petabyte-scale data orchestration, and…
Added 3 hours ago
J
Senior Infrastructure Security Engineer
Jobgether
Remote, United States
- $170,000 to $210,000 USD / year
…traditional insurance operations. As a Senior Infrastructure Security Engineer, you will play a dual role in strengthening cloud infrastructure and establishing robust security practices…
Added 3 hours ago
Engineering Manager- Data Collection & Scanning
Jobgether
Remote, United States
…building large-scale systems that discover, scan, and collect data from across the Internet. As an Engineering Manager, you will oversee critical data collection infrastructure and…
Added 3 hours ago
Lead Platform Engineer, AI and DevSecOps
RadarFirst
Remote, United States
…industries, including governance, secure agent/tool access, observability, continuous LLM and agent evaluations, traceability, incident response, cost controls, and operational readiness…
Added 3 hours ago
Senior AI Engineer (AI Automation)
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer (AI Automation) based in United States.
Added 3 hours ago
Senior Forward Deployed Engineer, AWS Forward Deployed Engineering
Amazon Web Services, Inc.
Boston, MA · Seattle, WA · Arlington, VA · New York, NY · East Palo Alto, CA · San Francisco, CA
…decision intelligence. Integrate foundation models, customer data sources, APIs, and existing applications into cohesive AI experiences. Optimize for latency, reliability, observability,…
Added 4 hours ago
Forward Deployed Engineer
Elixirr Consulting
United States
…broadened our capabilities across creative, digital marketing, data and AI, procurement, transformation, and…
Added 4 hours ago
NA
Founding Platform & Infrastructure Engineer, AI Platform
Nth AI
San Francisco, CA
- $150,000 to $190,000 USD / year
Platform reliability and observability: Implement logging, metrics, alerting, health checks, failure recovery, auditability, and operational tooling across Nexus deployments.
Added 4 hours ago
Principal Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for a Principal Engineer to lead the design and delivery of core platform capabilities across our stack. You’ll operate as a senior technical leader - owning architecture…
Added 4 hours ago
Senior Data Engineer
Ochsner Health
New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…

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:

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