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Google Research Jobs in Oregon (NOW HIRING)

Cheez

Product Manager @ Social app startup

Gresham, OR · On-site

... research * Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans * Develop user stories ...

Cheez

Product Manager @ Social app startup

Salem, OR · On-site

... research * Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans * Develop user stories ...

Cheez

Product Manager @ Social app startup

Portland, OR · On-site

... research * Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans * Develop user stories ...

Cheez

Product Manager @ Social app startup

Portland, OR · On-site

... research * Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans * Develop user stories ...

Cheez

Product Manager @ Social app startup

Eugene, OR · On-site

... research * Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans * Develop user stories ...

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Showing results 21-40

All JobsGoogle Research JobsGoogle Research Jobs in Oregon

Google Research information

See Oregon salary details

$31.7K

$62.1K

$100.4K

How much do google research jobs pay per year?

As of Sep 7, 2026, the average yearly pay for google research in Oregon is $62,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $74,000.00 per year, depending on experience, location, and employer.

What is a Google Research?

A Google Research job involves conducting cutting-edge research in artificial intelligence, machine learning, computer science, and other advanced fields. Researchers at Google work on theoretical and applied problems, develop new algorithms, and publish papers in top conferences. They also collaborate with product teams to integrate research breakthroughs into real-world applications. These roles often require strong expertise in fields like deep learning, natural language processing, or computer vision, as well as a PhD or equivalent experience.

What types of projects and research areas do Google Research team members typically work on?

Team members at Google Research work on a wide variety of cutting-edge projects, including but not limited to machine learning, natural language processing, computer vision, and artificial intelligence. Research topics can range from developing novel algorithms to creating scalable systems that serve billions of users. The team often collaborates with product groups and academic partners, providing opportunities to see research make a real-world impact. You’ll find both individual and group-oriented projects, with regular opportunities for publication, patent filings, and contribution to open-source software. This diversity allows researchers to continuously learn and advance their careers in multiple directions.

What are the key skills and qualifications needed to thrive in the Google Research position, and why are they important?

Succeeding at Google Research requires a strong background in computer science, mathematics, or a related technical field, typically supported by a Ph.D. or equivalent research experience. Familiarity with Python, TensorFlow, PyTorch, and experience in publishing in top-tier conferences are highly valued. Excellent problem-solving skills, intellectual curiosity, and the ability to communicate complex ideas clearly are important soft skills. These competencies are crucial for driving innovative research, effective team collaboration, and advancing impactful projects at Google.

Does Google hire researchers?

Yes, Google hires researchers in various roles such as research scientists and research engineers who work on advancing technology and innovation. These positions typically require strong expertise in areas like machine learning, artificial intelligence, or data analysis, and often involve collaboration with cross-functional teams. Candidates usually need relevant advanced degrees and experience with research tools and methodologies.

How to become a Google Researcher?

To become a Google Researcher, candidates typically need a strong background in computer science, machine learning, or related fields, often holding a Ph.D. or master's degree. Relevant skills include programming in languages like Python or C++, experience with research methodologies, and familiarity with tools such as TensorFlow. Applying through Google's careers portal and demonstrating a strong research portfolio or publications can improve chances.

What are popular job titles related to Google Research jobs in Oregon?

For Google Research jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Google Research jobs in Oregon look for?

The top searched job categories for Google Research jobs in Oregon are:

What cities in Oregon are hiring for Google Research jobs?

Cities in Oregon with the most Google Research job openings:

Google Research jobs near you
Infographic showing various Google Research job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $62,112 per year, or $29.9 per hour.

Information Security Risk Analyst

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Re-posted 3 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers

Job description

Job Summary
The Cyber Threat Analytics Analyst is responsible for identifying, developing, and improving the organization's ability to detect malicious behavior, suspicious activity, and security anomalies across the enterprise. This role is part Information Security team focused on bringing detection development, threat analysis operationalization, SIEM correlation, behavioral analytics, and AI-assisted threat detection capabilities into the organization.The analyst will work closely with Security Operations, Incident Response, and Vulnerability Management teams to improve detection coverage, reduce false positives, and identify threats that may bypass traditional controls.
Job Responsibilities
  • Develop, test, tune, and maintain SIEM detection rules, log correlation searches, alerts, dashboards, and analytics.
  • Translate threat intelligence, adversary tactics, and emerging attack trends into actionable detections.
  • Build and improve analytics to identify malicious behavior, compromised accounts, lateral movement, and anomalous activity.
  • Use AI-driven analytics, UEBA, and behavioral baselining to identify activity that deviates from normal user, endpoint, network, cloud, and application behavior.
  • Map detection content to MITRE ATT&CK tactics and techniques to identify coverage strengths and gaps.
  • Partner with SOC analysts to improve alert triage, investigation playbooks, enrichment, and escalation criteria.
  • Support Incident Response during active investigations by analyzing logs, identifying patterns, and developing new detections from lessons learned.
  • Identify gaps in logging, telemetry, and visibility and recommend improvements to security monitoring coverage.
  • Document detection logic, assumptions, data sources, expected behavior, response guidance, and tuning decisions.
  • Track detection effectiveness, alert fidelity, false positive rates, detection coverage, and time-to-detect improvements.

Who We're Looking For
We are looking for an analytical and curious cybersecurity professional who enjoys finding patterns in large volumes of security data. The ideal candidate understands how attackers operate, how enterprise systems generate security telemetry, and how to turn threat intelligence into meaningful detections. The right person for this role should be comfortable working across SIEM data, endpoint telemetry, identity logs, cloud activity, email security events, network data, and behavioral analytics platforms. They should be able to think like an attacker, understand normal business behavior, and identify signals that indicate suspicious or malicious activity.
Strong candidates will have experience in one or more of the following areas:
  • Security Operations Center analysis
  • Threat hunting
  • SIEM rule development
  • Threat intelligence analysis
  • Incident response
  • Detection tuning
  • Behavioral analytics or UEBA
  • Cloud, endpoint, identity, or network security monitoring

Preferred Qualifications
  • Experience with SIEM platforms such as Microsoft Sentinel, Splunk, Exabeam, Securonix, or similar tools.
  • Experience writing detection queries using KQL, SPL, SQL, or similar query languages.
  • Familiarity with Microsoft Defender XDR, Defender for Endpoint, Defender for Identity, Microsoft Sentinel, Entra ID, or similar security platforms.
  • Understanding of MITRE ATT&CK and common adversary tactics, techniques, and procedures.
  • Experience using threat intelligence to create detections and threat hunting hypotheses.
  • Experience with AI-assisted analytics, UEBA, anomaly detection, or behavioral baselining.
  • Familiarity with cloud security monitoring across Azure, AWS, or Google Cloud.
  • Ability to analyze logs from identity systems, endpoints, firewalls, proxies, email gateways, SaaS applications, and cloud platforms.
  • Experience documenting detection logic, investigation steps, and response guidance.
  • Scripting or automation experience with Python, PowerShell, Logic Apps, or similar tools.
  • Familiarity with MISP, STIX/TAXII, threat intelligence feeds, or indicator management.
  • Certifications such as GCIH, GCIA, GCDA, GMON, GCTI, GCFA, Security+, CySA+, CISSP, or equivalent experience.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What Lam Research employees say

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

Social media

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