Jobs in the United States

25+ jobs

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Added 2 mins ago
Hardware/Software Co-Design Engineer, Inference
Google
Sunnyvale, CA
Added 6 mins ago
Senior Analyst, Compliance Technology
Coinbase
Cheyenne, WY
We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
Added 6 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Cheyenne, WY
…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 6 mins ago
Software Engineer, Infrastructure - Central Growth
Meta
Cheyenne, WY
Software Engineer, Infrastructure - Central Growth Responsibilities:
Added 6 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Cheyenne, WY
- $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
Staff Thin Film Process Development Engineer
Micron Technology, Inc.
Boise, ID
As a Staff Thin Film Process Development Engineer, you will develop and own advanced thin-film deposition processes supporting next-generation semiconductor technologies. You will translate…
Added 10 mins ago
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 12 mins ago
I
Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
…product, and forward-deployed engineering teams, and with the engineer who owns vLLM vulnerability management when an upstream issue affects our product. You'll set the direction for…
Added 15 mins ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
Added 16 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 16 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 16 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 16 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 16 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 18 mins ago
Sr. Engineer, Software Engineer (Test Automation Developer)
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ · IA
Test Automation Developer experienced in independently delivering reliable, secure, and scalable quality-engineering solutions throughout the software delivery lifecycle. Brings expertise…
Added 18 mins ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
As a Data Engineer, you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single…
Added 25 mins ago
T
Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Kubernetes Certification such as Kubernetes and Cloud Native Certification or Kubernetes Application Developer Certification
Added 25 mins ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Added 25 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 25 mins ago
P
Electrical Engineer
Pfizer
Andover, MA
- $82,700 to $137,900 USD / year
Added 25 mins ago
IG
Software Engineer II
Insight Global
Marlborough, MA
- $70 to $75 USD / hour
Insight Global is seeking a Software Engineer II for a top medical technology client. This candidate will join a growing team supporting the development of an innovative digital diagnostics…
Added 25 mins ago
Staff Engineer - Software Engineering
Capital One
Cambridge, MA
As a Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
Added 25 mins ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 26 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boston, MA
- $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 27 mins ago
AI Solutions Engineer
ISACA
Remote, United States
The AI Solutions Engineer is responsible for the development, integration, implementation, and maintenance of large language model (LLM) applications used to support internal business…

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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