2025-06-27
CrowdStrike, Inc.
Other
/yr
employee
contract
Sunnyvale
California
94086
United States
CrowdStrike, Inc.
Full time
R23602
About the Role:
Crowdstrike’s Data Science team is expanding – we are looking for a Senior Machine Learning Engineer to join our growing Data Science organization. You will build scalable and resilient systems which help train, evaluate, and integrate some of the largest and most complex machine learning models in the industry. You will also have the opportunity to apply your expertise in software engineering and knowledge of ML to accelerate scientific research in areas such as: algorithm optimization, algorithm scaling, and modeling automation.
The scale of our systems and data are approaching Exabytes in size. Experience with extremely large-scale systems, including DevOps patterns, practices, and standards are important for this work.
What You’ll Do:
Apply deep knowledge of distributed systems to improving existing and new model training systems and scale novel data processing techniques
Apply machine learning knowledge to quickly understand and build automated systems that encapsulate manual ML research workflows
Champion proper engineering and architectural approaches to ML workflows with scientists, engineers, analysts, architects and management
Productionize research projects by optimizing code and systems to perform within various engineering performance envelopes
Employ and evolve established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.
Apply software engineering best practices to machine learning code bases and systems to improve reliability and observability
Automate and visualize analyses, results and processes in our artificial intelligence and machine learning pipeline
Own your work with autonomy, end to end: develop, test, deploy and monitor your changes
Python (xgboost, pytorch, tensorflow, scikit-learn, pandas, huggingface)
Docker
Kubernetes
AWS, GCP
Spark, Ray
MLFlow, Airflow
Terraform, Jenkins
Proven track record working with distributed compute systems (e.g. Spark, Ray, etc) running on a cloud provider such as AWS or GCP
Versed in standard machine learning techniques, algorithms, and how to tune them
Previous experience working with extremely large datasets of high-dimensional data
Thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
Resourcefulness - ability to work independently with minimal supervision to solve complex problems
Thirst for knowledge - do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Prior experience in cyber security
Experience with DevOps topics such as proxies, subnets, vpcs, identity and access management
Understanding of compute scalability trade-offs for hyperparameters in standard machine learning models
Experience with deploying and managing systems on Kubernetes
Experience working with GPU-based training systems at the code and system level
Experience training or fine-tuning LLMs
#LI-Remote
#LI-RC1
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.
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