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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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’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:<ul><li>Apply deep knowledge of distributed systems to improving existing and new model training systems and scale novel data processing techniques</li><li>Apply machine learning knowledge to quickly understand and build automated systems that encapsulate manual ML research workflows</li><li>Champion proper engineering and architectural approaches to ML workflows with scientists, engineers, analysts, architects and management</li><li>Productionize research projects by optimizing code and systems to perform within various engineering performance envelopes</li><li>Employ and evolve established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.</li><li>Apply software engineering best practices to machine learning code bases and systems to improve reliability and observability </li><li>Automate and visualize analyses, results and processes in our artificial intelligence and machine learning pipeline</li><li>Own your work with autonomy, end to end: develop, test, deploy and monitor your changes</li></ul>Tech Stack (not mandatory to know everything; a robust learning capacity is essential):<ul><li>Python (xgboost, pytorch, tensorflow, scikit-learn, pandas, huggingface)</li><li>Docker</li><li>Kubernetes</li><li>AWS, GCP</li><li>Spark, Ray</li><li>MLFlow, Airflow</li><li>Terraform, Jenkins</li></ul> What You’ll Need:<ul><li>Proven track record working with distributed compute systems (e.g. Spark, Ray, etc) running on a cloud provider such as AWS or GCP</li><li>Versed in standard machine learning techniques, algorithms, and how to tune them</li><li>Previous experience working with extremely large datasets of high-dimensional data</li><li>Thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.</li><li>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.</li><li>Resourcefulness - ability to work independently with minimal supervision to solve complex problems</li><li>Thirst for knowledge - do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts</li></ul>Bonus Points:<ul><li>Prior experience in cyber security</li><li>Experience with DevOps topics such as proxies, subnets, vpcs, identity and access management</li><li>Understanding of compute scalability trade-offs for hyperparameters in standard machine learning models</li><li>Experience with deploying and managing systems on Kubernetes</li><li>Experience working with GPU-based training systems at the code and system level</li><li>Experience training or fine-tuning LLMs</li></ul>#LI-Remote#LI-RC1Benefits of Working at CrowdStrike:<ul><li>Remote-friendly and flexible work culture</li><li>Market leader in compensation and equity awards</li><li>Comprehensive physical and mental wellness programs </li><li>Competitive vacation and holidays for recharge  </li><li>Paid parental and adoption leaves</li><li>Professional development opportunities for all employees regardless of level or role</li><li>Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</li><li>Vibrant office culture with world class amenities</li><li>Great Place to Work Certified™ across the globe</li></ul><div>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 <a href="mailto:recruiting@crowdstrike.com" target="_blank">recruiting@crowdstrike.com</a> for further assistance.<a href="http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">Find out more about your rights as an applicant.</a>CrowdStrike participates in the E-Verify program.<a href="http://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf" target="_blank">Notice of E-Verify Participation</a></div><a href="https://www.e-verify.gov/sites/default/files/everify/posters/IER_RightToWorkPoster%20Eng_Es.pdf" target="_blank">Right to Work</a>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 $140,000 - $215,000 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 <a href="http://crowdstrike.wd5.myworkdayjobs.com/crowdstrikecareers/page/a78c53e64ec61001f47d48a4699e0000" target="_blank">click here</a>. Expected Close Date of Job Posting is:08-26-2025

CrowdStrike

Sr. Machine Learning Engineer (Remote)

CrowdStrike

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