Sr. Machine Learning Engineer - ML Platform (Remote)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:

CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing ML Platform Engineering Team. You will be responsible for building globally distributed, fault-tolerant, and highly scalable ecosystems. You will partner with many teams across the company to provide solutions for challenging and high value projects. 

CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

What You'll Do:

• Innovate with the state of the art machine learning technology to accelerate data science.

• Focus on scalability, and cost effectiveness.

• Implementing monitoring and providing in-depth analysis to identify potential vulnerabilities or gaps

• Create backend microservices, pinpointing and addressing critical concerns to implement effective solutions.

• Employ established CrowdStrike tools and services to build solutions for detecting and countering targeted cyber assaults.

• Construct and maintain data pipelines,and contribute to the training and implementation of custom models.

• Collaborate across various teams to brainstorm, define, and devise solutions.

• Commit to ongoing learning and self-improvement.

• Stay attuned to our customers' challenges, always seeking ways to enhance support.

• Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.

• Work within a collaborative and agile team environment.

• Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.

• Constantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.

• Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.

• Thrive in an environment that highly values trust.

​

Tech Stack (not mandatory to know everything; a robust learning capacity is essential):

• High level coding language such as JVM technologies or Python

• Docker

• Kubernetes

• AWS, GCP, or MaaS

• Kafka, Cassandra, and Spark

• ElasticSearch

• Terraform, Chef, or Ansible

​

What You'll Need:

• Any STEM undergraduate degree

• Prior work experience with big data and microservices

• Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency

• Be a team player

• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.

• The ability to thrive in a test-driven, collaborative, and iterative programming environment.

• 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.

​

Bonus Points:

• Existing exposure to AWS and distributed systems

• Experience with Language Models, Data Science, and Data Engineering

• Prior experience in the cybersecurity or intelligence fields

​

#LI-RC1

#LI-Remote

Benefits of Working at CrowdStrike:

• Remote-first culture

• Market leader in compensation and equity awards

• Competitive vacation and flexible working arrangements 

• Comprehensive and inclusive health benefits

• Physical and mental wellness programs

• Paid parental leave, including adoption 

• A variety of professional development and mentorship opportunities

• Offices with stocked kitchens when you need to fuel innovation and collaboration

CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $135,000 - $210,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.

CrowdStrike Canada ULC is committed to fair and equitable compensation practices. The base salary range for this position in Canada is $130,000 - $210,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.

Expected Close Date of Job Posting is:01-06-2025 Apply