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Today

Staff Machine Learning Engineer

PayPal San Jose, CA

San Jose, CA

Today

$197k - $292k/yr Full time Ai Ml Artificial Intelligence Cloud Machine Learning

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Job Description

In this Staff Machine Learning Engineer role, you will help shape advanced machine learning and AI capabilities designed to address complex business and customer challenges. Based in San Jose, CA (hybrid), the work blends hands-on model building with architectural leadership, alongside close collaboration across data science, software engineering, product, and business stakeholders.

You will lead end-to-end efforts that span dataset analysis, production deployment, and ongoing performance evaluation, including systems built for large language models and agentic AI. The focus is on delivering reliable ML experiences through strong engineering practices, evaluation, and operational excellence.

What you’ll do

Lead the development and optimization of advanced machine learning models.
Oversee preprocessing and analysis of large datasets.
Deploy and maintain machine learning solutions in production environments.
Collaborate cross-functionally to integrate ML models into products and services.
Monitor and evaluate deployed model performance, making adjustments as needed.

What you bring

5+ years of relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
Extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Expertise with AWS, Azure, and GCP, plus tools for data processing and model deployment.
Master’s or PhD in Computer Science, Machine Learning, or a related field.
Proven experience designing and developing deep neural network (DNN) solutions.
Experience building large-scale ads, recommendation, search and ranking, and user modeling (including personalization, embeddings, retrieval, learning-to-rank, and user behavior and intent modeling).
Hands-on experience building and shipping LLM applications in production, including fine-tuning (LoRA/PEFT), retrieval-augmented generation (RAG), and prompt engineering.
Experience designing agentic systems with tool use, planning, memory, and multi-agent orchestration, using frameworks such as LangGraph, LangChain, AutoGen, or Model Context Protocol (MCP).
Experience with LLM and agent evaluation, guardrails, and observability, including offline/online evaluation and hallucination detection.
Experience optimizing LLM inference for latency and cost, including vLLM, quantization, distillation, and GPU serving.

Key technologies

TensorFlow, PyTorch, scikit-learn
AWS, Azure, GCP
LoRA/PEFT, RAG
LangGraph, LangChain, AutoGen, Model Context Protocol (MCP)
vLLM, quantization, distillation, GPU serving
Deep neural network (DNN)

Compensation and work location

Location: San Jose, California (hybrid)
Pay range: USD 196,500 - 291,500 per year
Additional compensation: An annual performance bonus, equity, or other incentive compensation may apply.
Travel: 0%

Benefits

Generous paid time off
Healthcare coverage for you and your family
Resources to create financial security
Support for your mental health

For the majority of employees, PayPal’s balanced hybrid work model provides 3 days in the office for in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace.

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3mo ago

Principal Threat Intelligence Engineer

UnitedHealth Group Washington, DC 🇺🇸 Remote

Washington, DC

3mo ago Closed

$113k - $193k/yr Full time Agentic Ai Artificial Intelligence Cybersecurity Tools

This position is no longer accepting applications (closed Sep 5, 2026).

Job Description

UnitedHealth Group is seeking a Principal Threat Intelligence Engineer to expand and integrate threat intelligence capabilities across its security ecosystem. In this role, you will help operationalize intelligence-led detection and response by ingesting, normalizing, enriching, and automating threat data workflows used by CTI, SOC, IR, and other SecOps teams.

This position is based in Washington, DC with a remote work setup and a salary range of USD 112,700 to 193,200 per year. A minimum of 3+ years of relevant experience is required.

What you’ll do

Deploy, integrate, and maintain a threat intelligence platform integrated into United Health’s security tooling ecosystem
Integrate threat intelligence into SIEM platforms (example: Splunk) to support detection use cases and alert enrichment
Use agentic AI, LLMs, and related capabilities to improve the speed and availability of contextualized threat intelligence for CTI, SOC, IR, and other SecOps teams
Build and deploy technology-supported workflows to run intelligence use cases across environments including SOC, IR, Insider Risk, Fraud, Red Team, and Threat Hunt
Develop and maintain SOAR playbooks for automated threat response and enrichment, leveraging SOAR to optimize intelligence workflows
Orchestrate workflows across security tools to reduce manual analysis and improve response time
Build and maintain integrations between threat intelligence feeds (commercial, open-source, ISACs) and internal security platforms
Integrate and operationalize TIPs such as MISP, OpenCTI ThreatConnect, Anomali, and ThreatQuotient with enterprise security tools
Create pipelines to ingest, normalize, deduplicate, and enrich Indicators of Compromise (IOCs) and threat data
Correlate intelligence with telemetry from SIEM, EDR, NDR, and cloud security tools to improve detection fidelity
Enable automated enrichment of alerts using threat intelligence data within SIEM workflows

Required qualifications

3+ years of experience in a cyber threat intelligence, cyber security engineering, incident response, or malware analysis role with a strong emphasis on tool and technology integration
Proficiency in Python (primary) for automation, API integrations, and data processing
Proficiency in one or more of: Java, JavaScript/Node.js, or Go for service development
Experience with REST APIs, JSON, and STIX/TAXII protocols
Experience with data parsing, transformation, and pipeline development
Experience with scripting in Bash and/or PowerShell
Demonstrated familiarity with Git and CI/CD pipelines
Demonstrated familiarity with OSes and platforms including Linux (Ubuntu, CentOS, RHEL, Kali), AWS, Docker, Windows Server (NT through 2012), Active Directory, and Mac OS X
Experience applying AI within a threat intelligence framework, including LLM, MCP server configuration, RAG, and related processes
Hands-on experience with TIPs such as MISP, OpenCTI, ThreatConnect, and Anomali
Experience integrating multiple intelligence feeds and formats
Solid experience with SIEM platforms: Splunk, Microsoft Sentinel, IBM QRadar, Elastic
Experience building detection rules, correlation searches, and dashboards
Proven understanding of log ingestion, normalization, and enrichment pipelines
Experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, Swimlane, and Tines
Development experience with playbooks/runbooks for automated response
Proven knowledge of structured threat data formats: STIX and TAXII

Technologies you may work with

Python, Java, JavaScript/Node.js, Go
REST APIs, JSON, STIX/TAXII
Bash, PowerShell, Git, CI/CD
Linux (Ubuntu, CentOS, RHEL, Kali), AWS, Docker
Windows Server (NT through 2012), Active Directory, Mac OS X
LLMs, MCP server configuration, RAG
MISP, OpenCTI, ThreatConnect, Anomali, Splunk, Microsoft Sentinel, IBM QRadar, Elastic
Cortex XSOAR, Splunk SOAR, Swimlane, Tines
ThreatQuotient, EDR, NDR, IOcs, TIPs, SIEM, SOAR

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution (all benefits are subject to eligibility requirements)

Preferred qualifications

Relevant certifications (examples: GCTI, GCIA, CISSP, Splunk certifications)
Experience in large-scale security operations or SOC environments
Familiarity with MITRE ATT&CK and other intelligence frameworks
Familiarity with data engineering technologies (examples: Kafka, Spark, Elasticsearch)
Experience with cloud platforms (AWS, Azure, GCP) and security integrations
Experience in threat hunting and detection engineering

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Llm Rag Engineer Jobs

Staff Machine Learning Engineer

Principal Threat Intelligence Engineer

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