Engineer II - Automation & Development (Remote

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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. Crowd Strikers 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 Crowd Strikers 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.

Crowd Strike 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  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!

• 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 product ionize models and monitor their performance and accuracy over time

• Report regularly on the status of assigned projects

• 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, Tensor Flow, 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

• Experience working with cloud cost/billing…