Jobs Ask AI Pay Companies CompareSign in

Wait…

We read every job from the company's own job board. You apply on the company site.Jobs Job types Internships New graduate jobs Companies Pay Reported pay Check an offer Add your pay Compare with LinkedIn Job sites compared Pay transparency laws API for developers Monthly report Companies we cover Make a portfolio page For companies: find people About Privacy

Staff Research Data Scientist

Google, San Francisco, California +1

Posted pay

$207K–$300K

a year

Location: San Francisco, California +1
Work type: Onsite
Level: Staff
Experience: 8+ years
Skills in the job text: Python
SQL
R
Posted: 8 days ago
Last check: 5 days ago
Job type: Research, Inference & ML systems, ML / AI engineering

Apply on the Google site Sign in to save

The Google site opens in a new tab.

G

Google

About Google: funding, hiring and pay

Check my fit

Compare your résumé with this job. See where you match, what is missing and which lines to change.

Sign in to check your fit

The role

The Google Cloud GUSTO AI Data Science Research team develops innovative, data-driven solutions to today’s most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.

As a Staff Research Data Scientist (Tech Lead) you will define the technical goal, drive applied research agendas, and lead the technical execution of machine learning, deep learning, and generative AI initiatives across Google SecOps, Google Threat Intelligence, and other key cybersecurity product areas in Google Cloud.

In this role, you will manage high-ambiguity, adversarial security problems at Google scale. You will act as the principal research driver and technical lead across initiatives such as agentic security operations, threat intelligence reasoning and contextualization, security-specialized LLMs/foundation models, and dark web threat detection. As a Tech Lead, you will bridge the gap between breakthrough AI research and enterprise-grade deployment: architecting novel research prototypes, steering data strategy, aligning roadmaps with cross-functional SWE and Product leaders, and mentoring junior researchers.

You will represent Google's security research externally through high-impact publications, patents, and conference presentations, shaping how the broader AI Security industry defends against advanced threat actors.

A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

What you will do

Define and drive the multi-quarter research strategy and technical roadmap at

the nexus of machine learning for security, AI-powered security operations, and autonomous threat investigation and response.

Serve as the Technical Lead (TL) for applied research workstreams,

translating ambiguous threat challenges into structured, high-impact AI/ML modeling solutions with landed product impact.

Architect state-of-the-art model architectures and agentic systems, balancing

theoretical novelty with low-latency, resilient inference in adversarial environments.

Architect end-to-end data acquisition and curation strategies across massive,

heterogeneous security telemetry; establish benchmarks and evaluation pipelines for robust model assessment.

Partner with Engineering (SWE) and Product Management (PM) leadership to

establish shared architectural roadmaps, govern production ML deployments, and lead continuous post-deployment telemetry and feedback loops.

What you need

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,

Operations Research, Engineering, or a related quantitative field.

8 years of experience using analytics to solve product or business problems,

coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Experience with Machine Learning research and developing new methodologies or

algorithms.

Experience with Large Language Models (LLMs), Natural Language Processing

(NLP), or Generative AI.

Experience with Machine Learning algorithms and statistical modeling.
Experience with cyber threat research.

Nice to have

PhD in Computer Science, Data Science, Statistics, Electrical Engineering, or

a related quantitative field.

7 years of experience designing, validating, and deploying machine learning

models, statistical methods, or generative AI systems into production.

2 years of applied experience within cybersecurity, security operations,

threat intelligence, fraud/abuse, or vulnerability research.

Experience acting as a Technical Lead, workstream owner, or principal

researcher directing technical projects end-to-end across cross-functional teams.

Experience addressing distribution shifts, concept drift, or adversarial

attacks in high-stakes or non-stationary environments.

Experience in production-grade development using programming languages and

modern deep learning ecosystems.

Read the job posting on the Google site

Similar jobs at other companies

Tech Lead Manager, Data Protection Understanding, AI Acceleration, Core
GoogleBengaluru, Karnataka, India
- Senior
- Onsite
- Inference & ML systems
- Manager
Pay not posted
Posted 23 days ago
Data Scientist Product, Geo Data Science
GoogleBengaluru, Karnataka, India +1
- Onsite
- Data science
Pay not posted
Posted 16 days ago
Staff Software Engineer, Google Distributed Cloud, Compute
GoogleBengaluru, Karnataka, India
- Staff
- Onsite
- Infra, platform & SRE
Pay not posted
Posted 12 days ago
Data and AI Engineer
GoogleGurugram, Haryana, India +2
- Onsite
- ML / AI engineering
Pay not posted
Posted 14 days ago
Customer Engineer, Google Cloud Security
GoogleGurugram, Haryana, India +1
- Onsite
- Solutions engineering
Pay not posted
Posted 21 days ago
Staff Software Engineer, Search Production Intelligence
GoogleBengaluru, Karnataka, India
- Staff
- Onsite
- Software engineering
Pay not posted
Posted 6 days ago

Source: the company job board. We last checked this job 5 days ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now.

See total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.

Google

Open tech jobs: 681
With posted pay: 74%
Median posted base: $174K–$252K

About Google: funding, hiring and pay

Compared with similar jobs

This base pay is near the median for staff AI research jobs in the Bay Area.

Median: $261K a year
Other jobs in the group: 64

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.