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About the Role

CrowdStrike is seeking a Data Scientist and AI researcher with expertise in Generative Models, including training and fine-tuning for predictive and generative tasks. The role requires a strong foundation in Generative AI model architectures and practical application knowledge for product features. Deep understanding of LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, and A2A is essential. The candidate will research, prototype, and implement scalable solutions, demonstrating expert-level Python and PyTorch skills. Experience in publishing white papers and speaking at conferences is expected.

Responsibilities

Architect and deliver scalable prototypes for various features.
Research and compare/contrast various solutions for a given problem.
Gather feedback and iterate towards a final solution.
Provide detailed design and architecture documents.
Present and describe solutions in easy-to-understand ways for a larger audience.
Measure, report, and explain the efficacy characteristics of the solution.
Write deep technical papers for internal and external audiences.
Speak at internal and external events.
Present and explain features in the context of the product to customers.
Work at the code layers of models with a deep understanding of CUDA, kernels, and frameworks like PyTorch.
Research, design, and prototype cutting-edge generative AI solutions to enhance CrowdStrike's AI Detection and Response capabilities.
Translate complex AI concepts into practical security features.
Create, curate, and maintain high-quality datasets for training and evaluating deep learning models.
Establish data collection pipelines, labeling workflows, and quality assurance processes.
Conduct experiments to further the capabilities of existing models.

Requirements

6+ years of combined experience as an ML/AI researcher and practitioner.
3+ years building/prototyping Generative AI features, training and fine-tuning AI / Deep learning models.
Previous experience in security companies and working in close coordination with or in security products.
Deep understanding of the security landscape, especially AI Security.

Skills

Generative Models
Generative AI model architectures
LLM concepts
RAG
AI Workflows
Agentic AI
AI Agents
AI Agent Frameworks
MCP
A2A
Python
PyTorch
CUDA
kernels

Location

Work Type

Full-time

Experience Level

6+ years of combined experience as an ML/AI researcher and practitioner
3+ years building/prototyping Generative AI features, Training and Fine Tuning AI / Deep learning models

Salary/Compensations

$140,000 - $215,000 per year

Benefits

Eligibility for bonuses
Equity grants
Comprehensive benefits package
Health insurance
401k
Paid time off
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays
Paid parental and adoption leaves
Professional development opportunities
Employee Networks, geographic neighborhood groups, and volunteer opportunities
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

About the Company

Global leader in cybersecurity, protecting people, processes, and technologies.
Mission: Stop breaches and redefine modern security with an AI-native platform.
Processes almost 3 trillion events per day with growing traffic.
Customers span all industries.
Mission-driven company with a culture of flexibility and autonomy.
Seeking passionate individuals with a focus on innovation and commitment to customers, community, and each other.
Founded in 2011 to address sophisticated attacks with a new approach combining advanced endpoint protection and expert intelligence.
Falcon has redefined endpoint protection; CrowdStrike stops breaches.

Equal Opportunity

CrowdStrike is proud to be an equal opportunity employer.
Committed to fostering a culture of belonging where everyone is valued and empowered to succeed.
Supports veterans and individuals with disabilities through affirmative action.
Provides equal employment opportunity for all employees and applicants.
Does not discriminate on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law.
Bases all employment decisions on valid job requirements.
Participates in the E-Verify program.
Committed to fair and equitable compensation practices.