Engineer II - Automation & Development (Remote)

CrowdStrike•USA CA Remote, CA

1d•$100,000 - $145,000•Remote

About The Position

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!

Requirements

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

Nice To Haves

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.

Responsibilities

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

Benefits

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
health insurance
401k
paid time off