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Added 1 min ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Des Moines, IA
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 1 min ago
Software Engineer, Machine Learning RecSys
Meta
Des Moines, IA
Software Engineer, Machine Learning RecSys Responsibilities:
Added 7 mins ago
AI Engineer ||
Mastercard
O'Fallon, MO
The AI Engineer is responsible for designing and delivering AI-powered solutions that improve engineering productivity and business workflows. This role requires a strong foundation in…
Added 13 mins ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 20 mins ago
Data Engineer (BigQuery)
Northramp LLC
Washington, DC
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 20 mins ago
Data Engineer (BigQuery)
Northramp LLC
Reston, VA
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 20 mins ago
Data Engineer (BigQuery)
Northramp LLC
Bethesda, MD
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
Added 20 mins ago
Senior Full Stack Engineer
Foresight Works Ltd
NY · New York, NY
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 20 mins ago
Senior Full Stack Engineer
Foresight Works Ltd
San Francisco, CA
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 20 mins ago
Software Engineer (AI Agents)
Fluent, LLC
NY · New York, NY
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 20 mins ago
Senior Platform Engineer
Foresight Works Ltd
NY · New York, NY
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 20 mins ago
Senior Platform Engineer
Foresight Works Ltd
San Francisco, CA
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 20 mins ago
Applied AI Engineer
Foresight Works Ltd
NY · New York, NY
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.
Added 20 mins ago
Applied AI Engineer
Foresight Works Ltd
San Francisco, CA
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.
Added 20 mins ago
Senior Data Engineer
Foresight Works Ltd
NY · New York, NY
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 20 mins ago
Senior Data Engineer
Foresight Works Ltd
San Francisco, CA
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 42 mins ago
M
Software Engineer II
Microsoft
CA · Mountain View, CA · Mountain View
- $102,100 to $219,200 USD / year
We are looking for a Software Engineer II to join our team. Our Global Secure Access Datapath team builds cutting-edge network security solutions that enable enterprises to protect their…
Added 1 hour ago
M
Principal Software Engineer
Microsoft
WA · NY · CA · Redmond, WA · Mountain View, CA · Sunnyvale, CA · Redmond · New York · Mountain View · Sunnyvale
- $142,800 to $304,200 USD / year
As a Principal Software Engineer, on the Substrate Application Platform team, you will help build the next generation platform for internal and external developers and agents to access M365…
Added 1 hour ago
EG
Senior AI Engineer
Eliassen Group
Aberdeen Proving Ground, MD
- $80 to $90 USD / hour
Our client seeks an AI Engineer to support CECOM ASIC in developing and deploying AI/ML models, agentic AI systems, analytics solutions, and automation workflows that drive Army readiness…
Added 1 hour ago
Software Engineer, AI Agents (Remote SF)
Morgan Pinnacle Group
San Francisco · San Francisco, CA
We are seeking a product-minded AI engineer with strong customer and product thinking, creativity in building LLM applications, and the ability to rapidly prototype and architect production…
Added 1 hour ago
Senior Staff AI / ML Solutions Engineer
ThermoFisher Scientific
Morrisville, NC
We have a new opening within the Clinical Research Group (CRG) of Thermo Fisher for a Senior Staff AI/ML Solutions Engineer to support the Finance organization and serve as the hands-on…
Added 1 hour ago
Senior Cyber Platform Engineer
MetLife
Cary, NC
The Cyber Platform Engineer is responsible for designing, implementing, and supporting enterprise security solutions within MetLife’s environment. This hands-on role partners with…
Added 1 hour ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
Are you looking to develop your Machine Learning Engineer career?
Added 1 hour ago
Azure DynamoDB Amazon Connect Cloud Front IAM Python Node Engineer
COOLSOFT
Raleigh, NC
Job Description Engineer: Azure, AWS Lambda Functions, DynamoDB, Amazon Connect Cloud Front IAM Python No
Added 2 hours ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Engineer scalable, reliable, fail-safe software for demanding operational environments.

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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