As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
The Data Science team is expanding and is looking for a Data Scientist to help build the next generation of agentic systems for cybersecurity. CrowdStrike's cybersecurity data is one-of-a-kind: we process nearly a trillion behavioral events per day. You'll work where Machine Learning, Big Data, and Cybersecurity converge — training models, building AI agents, and rigorously measuring whether they work — on data and problems you won't find anywhere else.
What You'll Do:- Work at the intersection of Artificial Intelligence and Threat Research
- Work closely with subject-matter experts in cybersecurity to understand analyst workflows and their security operations procedures
- Post-train LLMs and agents — supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO, reward modeling) — to automate analyst procedures and improve reliability on real security tasks
- Devise AI agents and combine them into increasingly complex workflows: planning and reasoning loops, tool and function calling, and retrieval and memory
- Research new approaches to agentic planning, and prototype state-of-the-art methods from the literature
- Establish objective criteria for benchmarking agentic systems — evals, LLM-as-judge pipelines, and trajectory-level metrics, with real statistical rigor
- Optimize prompts and inference to get the most out of every model
- Collaborate and coordinate across Engineering, Data Science, and Managed Services teams, and partner with engineers to take prototypes toward production
- Keep track of developments in the field of Artificial Intelligence and help identify, define, and prioritize areas for research
- Excellent foundations in machine learning, probability, and statistics, with sound instincts for uncertainty, statistical skew/variance, and experimental design
- PhD-level depth of understanding in modern machine learning research —a doctorate itself is not required, but we expect equivalent mastery, including the ability to read, critique, implement, and improve upon current papers
- Experience training generative models, with a strong command of LLM training fundamentals (architecture, optimization, tokenization, data, and scaling behavior)
- Reinforcement learning / post-training as a core skill: RLHF/RLAIF, policy optimization (PPO/GRPO/DPO), reward modeling, and building RL environments for agents
- Experience building agentic systems: agent architectures (ReAct, planning, reflection), tool and function calling, and retrieval/memory/context management
- Experience with systematic prompt optimization, and with designing and building evals for LLM systems
- Fluency with GPUs, PyTorch, and the common LLM training and serving stack (e.g., Hugging Face Transformers/TRL/PEFT, DeepSpeed/FSDP, vLLM/TGI/SGLang)
- Strong, reproducible research engineering: clean Python and disciplined experiment tracking that your collaborators can build on
- Ability to work independently on ambiguous and complex objectives, and to communicate clearly within a large project team
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
- Experience generating training data and environments — synthetic data, agent trajectories/rollouts, and task simulators
- Familiarity with inference-time scaling / test-time compute (search, self-consistency, verifier-guided decoding, long chain-of-thought)
- Experience with agent safety and guardrails: sandboxing, abuse/jailbreak resistance, and reliability for autonomous systems
- A knack for interpretability and failure analysis — diagnosing why a model or agent fails, not just that it does
- Notable open-source contributions and excellent technical writing
- Passionate about cybersecurity, with a firm understanding of the problem space — or passionate about applying your machine-learning skillset to a new domain such as cybersecurity (a security background is a plus, not a requirement)
- An independent self-starter who likes to take ownership and seeks out new challenges, and is thirsty for knowledge — never hesitant to step outside your comfort zone to learn new technologies, algorithms, and concepts
#LI-AM1
Benefits of Working at CrowdStrike:
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices 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. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.
Find out more about your rights as an applicant.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
Right to Work
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here.
Expected Close Date of Job Posting is:12-16-2026Skills Required
- Strong foundations in machine learning, probability, statistics, uncertainty, experimental design, and statistical analysis
- PhD-level mastery of modern machine learning research or equivalent expertise
- Experience training generative models and understanding LLM architecture, optimization, tokenization, data, and scaling
- Core experience with reinforcement learning and post-training, including RLHF, RLAIF, PPO, GRPO, DPO, reward modeling, and RL environments
- Experience building agentic systems using architectures such as ReAct, planning, reflection, tool calling, retrieval, memory, and context management
- Experience with systematic prompt optimization and designing evaluations for LLM systems
- Fluency with GPUs, PyTorch, and LLM training and serving tools such as Hugging Face Transformers, TRL, PEFT, DeepSpeed, FSDP, vLLM, TGI, or SGLang
- Strong reproducible research engineering skills, including clean Python and disciplined experiment tracking
- Ability to work independently on ambiguous objectives and communicate clearly within large project teams
- Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes
- Experience generating synthetic training data, agent trajectories, rollouts, or task simulators
- Familiarity with inference-time scaling and test-time compute methods
- Experience with agent safety, guardrails, sandboxing, jailbreak resistance, and autonomous-system reliability
- Experience with interpretability and model or agent failure analysis
- Notable open-source contributions and excellent technical writing
- Cybersecurity knowledge or experience applying machine learning to cybersecurity
What the Team is Saying
CrowdStrike Compensation & Benefits Highlights
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Healthcare Strength — Feedback suggests health coverage is comprehensive with multiple plan options (HSA and PPO) and is generally regarded as good. Dental and vision are also included and described positively.
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Leave & Time Off Breadth — Feedback suggests time off is flexible or unlimited, with generous PTO and paid holidays highlighted. Actual usage is noted as depending on team or manager.
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Equity Value & Accessibility — Equity awards and an ESPP with a discount and lookback are described as meaningful components of pay. These elements are often cited as strengthening total compensation.
CrowdStrike Insights
What We Do
CrowdStrike has redefined security with the world’s most advanced cloud-native platform that protects and enables the people, processes and technologies that drive modern enterprise. Tested and proven, the world's largest organizations trust CrowdStrike to stop breaches with unparalleled protection against the most sophisticated cyberattacks. The CrowdStrike culture has been built upon our Core Values since the day we began. We are Fanatical About the Customer, Relentlessly Focused on Innovation and believe that our Limitless Passion drives Unlimited Potential for every CrowdStriker. As a purpose-built remote-first company, we believe cultivating a connected culture for every employee, no matter where they are in the world, is a key ingredient in building a high-performing, diverse team. We don’t have a mission statement. We’re on a mission—to stop breaches. Ready to join a mission that matters?
Why Work With Us
We have a culture that celebrates achievement, encourages flexibility and innovation and thrives on teamwork. We all work towards a single mission: to stop breaches. This common goal drives a sense of community and connection among our people across the globe.
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CrowdStrike Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
