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FIB-TEM Automation Engineer
Micron Technology, Inc.
Boise, ID
As a FIB-TEM automation engineer at DTG TEM lab, you will contribute to the development and implementation of automated FIB-TEM workflows. You will collaborate closely with other DRAM…
Added 1 min ago
Equipment Engineer
Micron Technology, Inc.
Manassas, VA
…Provide technical support to manufacturing equipment repair and process engineering teams; define and write preventative maintenance (PM) schedules. Prioritize safety and quality by…
Added 5 mins ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
Added 6 mins ago
SentinelOne Engineer
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 SentinelOne Engineer based in the United States.
Added 6 mins ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
…and next steps. Our partner is looking for a Senior Software Engineer – Cloud SaaS – IE&A based in the United…
Added 6 mins ago
Senior Knowledge Engineer
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 Knowledge Engineer based in the United States.
Added 6 mins ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.
Added 6 mins ago
Cloud Security Engineer
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 Cloud Security Engineer based in the United States.
Added 15 mins ago
T
Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Experience with Elastic's ML jobs, including for User and Entity Behavior Analytics (UEBA), rare process detection, or anomalous login patterns
Added 15 mins ago
IG
Cyber ISSE - Secret
Insight Global
Lincoln, MA
- $60 to $70 USD / hour
A federal client is seeking a Cyber Security Engineer support all aspects of acquisition, system engineering reviews, and milestone entrance/exit criteria in Lexington, MA. Responsibilities…
Added 15 mins ago
Manufacturing Engineer III
General Atomics
Acton, MA
…systems and satellites, missile defense, power and energy, and process and monitoring applications for defense, industrial, and commercial customers…
Added 15 mins ago
Electrical Engineer, RDPI
Amazon
Westboro, MA
As an Electrical Engineer on our team, you will design industrial control panels, select and integrate sensors and components, and develop electrical systems for packaging and sortation…
Added 15 mins ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Added 15 mins ago
Data Warehouse Analyst
State of Massachusetts
Quincy, MA
Added 15 mins ago
Staff Quality Systems Engineer
J&J Family of Companies
Danvers, MA
We are searching for the best talent for a Staff Quality Systems Engineer to lead and optimize CAPA and Nonconformance (NC) processes within a regulated medical device environment. This…
Added 15 mins ago
QA Engineer- INDIA
Insight Global
Westborough, MA
We are looking for a strong QA Engineer to join our team! This role is responsible for supporting the Test Engineering team in the planning, development, and maintenance of a comprehensive…
Added 15 mins ago
Quality Engineer
Materion
Newton, MA
The Quality Engineer will be responsible for overseeing the quality assurance processes related to customer orders, ensuring that all products meet the specifications and expectations of…
Added 15 mins ago
Quality Assurance Representative/Port Engineer
CACI International
New Bedford, MA
Job Title: Quality Assurance Representative/Port Engineer
Added 15 mins ago
SDE II, Perception and SLAM, Autonomous Mobility
Amazon
North Reading, MA
…robot. We are looking for an enthusiastic Software Development Engineer to join our perception, localization, and machine learning team. You will be part of an exceptional group of…
Added 15 mins ago
RF Product Test Engineer
Insight Global
North Reading, MA
Seeking an RF-focused Product Verification Engineer to develop automated test solutions, validate RF instrumentation products, design test hardware, and troubleshoot integration issues.…
Added 15 mins ago
Quality Assurance Engineer
Zoll Medical Corporation
Chelmsford, MA
The Product Quality Assurance Engineer supports product quality throughout the product lifecycle, with a focus on complaint investigations, risk management support, and product quality…
Added 15 mins ago
Senior Supplier Quality Engineer
Zoll Medical Corporation
Chelmsford, MA
…to be a part of ZOLL!Job SummaryThe Senior Supplier Quality Engineer will be a leader on the Supplier Quality team, expected to be subject matter expert with regard to Supplier Quality…
Added 15 mins ago
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Electrical Engineer
Pfizer
Andover, MA
- $82,700 to $137,900 USD / year
Added 15 mins ago
Senior Frontend Engineer - Hashicorp Vault
IBM
LOWELL, MA
Advocate for strategic technical roadmap initiatives, or improvements to team process that enhance the system's overall effectiveness across teams and the organization
Added 15 mins ago
Senior Product Security Engineer
IBM
LOWELL, MA
The Secure Lifecycle Management (SLM) organization is seeking a Product Security Engineer to partner closely with the engineering teams responsible for HashiCorp Vault, Boundary, and Radar.…

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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