Engineer II - Automation & Development (Remote)
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:
CrowdStrike is looking for an Applied Scientist II to join our growing team. As an applied scientist, you will contribute to the research, development, and deployment of machine learning models that power cost attribution and cloud efficiency at CrowdStrike. The candidate will play a role in analyzing large-scale cloud usage and financial datasets, building and evaluating models, and working closely with engineering teams to bring models into production. If you are interested in working on a high-performing team applying machine learning to real-world cost optimization and financial accountability problems, this is the job for you!
About the Role:
Be an energetic self-starter with the ability to take ownership and be accountable for deliverables, both individually and as part of a team
Collaboratively brainstorm, define, and build machine learning solutions to accurately attribute cloud costs and resource consumption to the teams and products driving them
Work with internal business partners and senior scientists to analyze requirements and translate them into well-scoped modeling problems related to cost allocation, forecasting, and anomaly detection
Design, run, and evaluate experiments to validate model accuracy in attributing costs to owning teams, products, and business units
Contribute to raising the technical IQ of the team by staying curious and sharing new techniques and research with others
Partner with engineering teams to help productionize models and monitor their performance and accuracy over time
Report regularly on the status of assigned projects
What You’ll Do:
U.S. citizenship or Green Card/permanent resident status
Excellent written and verbal communication skills
Experience developing, training, and evaluating machine learning models (e.g., classification, clustering, anomaly detection, or regression) applied to structured business or financial data
Proficiency in Python and common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Experience working with large-scale datasets and distributed data processing tools (e.g., Spark, Pandas at scale)
Solid understanding of statistics, probability, and experimental design
Familiarity with feature engineering and model evaluation techniques (e.g., precision/recall, RMSE, cross-validation)
Familiarity with SQL and querying data from relational databases
Eagerness to learn from and collaborate with senior scientists and engineers
Demonstrate a passion for learning new techniques, tools, and research
Solid attention to detail and the ability to make good, timely decisions
Experience writing clean, well-tested, and reproducible code
Strong focus on data accuracy and integrity when working with financial and cost datasets
Must work effectively and professionally with cross-functional groups as part of a worldwide team
What You’ll Need:
Experience working with cloud cost/billing data (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management) or FinOps practices
Understanding of MLOps concepts and tools (e.g., model versioning, monitoring, CI/CD for ML)
Exposure to big data / streaming platforms (e.g., Kafka, Spark Streaming)
Familiarity with cloud platforms (AWS, GCP, Azure) for training and deploying models
Experience with resource tagging, cost allocation frameworks, or chargeback/showback systems
Exposure to time-series forecasting techniques for cost or usage prediction
Experience publishing research or contributing to open-source ML projects
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
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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 recruiting@crowdstrike.com for further assistance.
Find out more about your rights as an applicant.
CrowdStrike participates in the E-Verify program.
Notice of E-Verify Participation
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 $100,000 - $145,000 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:10-14-2026