Sr. Machine Learning Engineer (Remote)

CrowdStrike Holdings, Inc.; United States; Remote; USD 140,000 - 215,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Paid time off

Professional development

Diversity & inclusion

Job summary

CrowdStrike is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team. You will support high-throughput, low-latency LLM inferencing and post-training efforts, collaborating with data scientists and engineers to build scalable data pipelines and models for enterprise AI applications.

The role emphasizes autonomy, rigorous testing, and mentoring across technologies while aligning with CrowdStrike's mission and AI-centric product development.

Qualifications

• Experience building data pipelines for high-throughput ML workflows.
• Deep understanding of LLM post-training methods and distributed architectures.
• Ability to design scalable, fault-tolerant data systems and provide strong engineering discipline.

Responsibilities

• Innovate with state-of-the-art ML tech to accelerate data science.
• Provide pragmatic support for fast-moving research and development teams.
• Implement high-quality solutions for customer-facing applications at scale.
• Own end-to-end development, testing, deployment and monitoring of changes.

Skills

Data engineering

LLM inference

Distributed systems

Python

Terraform

Kubernetes

Tools

Docker

Kubernetes

AWS

GCP

Kafka

Elasticsearch

Job description

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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. 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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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 is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on high-throughput, low-latency LLM inferencing. In conjunction with the other engineers and data scientists on the team, you will support LLM post-training, data engineering aligned to rigorous evaluations, and broadly supporting a mission that requires close engineering collaboration with applied data scientists. Substantively, the team has a big mission: allowing Enterprise users to interact safely and securely with AI applications. This is a front-seat role in designing for the AI age. 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 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.

Tech Stack

• High level coding language such as JVM technologies or Python
• Docker
• Kubernetes
• AWS, GCP, or MaaS
• Kafka
• Cassandra
• Spark ElasticSearch
• Terraform, Chef, or Ansible
• Experience with scaling inference across GPUs or GPU-clusters

What You'll Need:

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

Bonus Points:

• Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.
• Prior experience in the cybersecurity or intelligence fields.

#LI-Remote #LI-RC1 Benefits of Working at CrowdStrike:

• 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

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.

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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.

Expected Close Date of Job Posting is:10-14-2026

CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware-based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches.