Sr. Machine Learning Engineer

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

• Focus on pragmatic support for fast-moving research and development teams.

• Implement high-quality solutions in support of customer-facing applications at scale.

• Providing in-depth analysis to identify potential vulnerabilities or gaps.

• 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.

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

• High level coding language such as JVM technologies or Python

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• Experience with scaling inference across GPUs or GPU-clusters

• Prior work experience doing data engineering and architecture in support of advanced data science use cases.

• A deep understanding of LLM post-training methods and computational architectures.

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

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• 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.

• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

• Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.

• Prior experience in the cybersecurity or intelligence fields.

• Market leader in compensation and equity awards

• Comprehensive physical and mental wellness programs

• Competitive vacation and holidays for recharge

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• 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

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 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. 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 click here. Expected Close Date of Job Posting is:10-14-2026 Originally posted on Himalayas