Sr. Machine Learning Engineer (Remote)

Posted 15 Hours Ago
Be an Early Applicant
Hiring Remotely in USA
Remote or Hybrid
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Define your future at CrowdStrike.
The Role
Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.
Summary Generated by Built In

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 (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

  • 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.

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 [email protected] 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. 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

Skills Required

  • Prior work experience doing data engineering and architecture in support of advanced data science use cases.
  • Deep understanding of LLM post-training methods and computational architectures.
  • Understanding scalability and distributed systems (sharding, partitioning, concurrency).
  • Thorough understanding of engineering best practices: testing paradigms, code reviews, resilient architecture.
  • Ability to develop, test, deploy, and monitor changes end-to-end; produce unit-tested code and participate in CI workflows.
  • Proven experience utilizing AI technologies to enhance decision-making, workflows, and business outcomes.
  • Be a team player; collaborate across teams and mentor other engineers.
  • Experience with high-level languages such as Python or JVM technologies.
  • Experience with Docker and Kubernetes.
  • Familiarity with cloud platforms (AWS, GCP, or MaaS).
  • Experience with streaming and data stores: Kafka, Cassandra, Spark.
  • Experience with Elasticsearch.
  • Familiarity with infrastructure-as-code / configuration tools: Terraform, Chef, or Ansible.
  • Experience scaling inference across GPUs or GPU-clusters.
  • Demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.
  • Prior experience in the cybersecurity or intelligence fields.

What the Team is Saying

Andrew C.
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Brian P.
Alexa Z.
Theo K.
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Lauren B.
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KT T.

CrowdStrike Compensation & Benefits Highlights

  • Equity Value & Accessibility Equity awards (RSUs) and a discounted Employee Stock Purchase Plan with a lookback are core parts of total compensation. Annual bonus or commission programs are also presented as part of the package.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is highlighted alongside wellness programs and mental-health support. These elements are consistently positioned as strong components of the U.S. offering.
  • Leave & Time Off Breadth Policies include flexible or “unlimited” PTO, paid holidays, paid volunteer time, and extras such as Birthday PTO. Remote-friendly work and flexible schedules reinforce usable time-off and work-life support.

CrowdStrike Insights

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The Company
HQ: Austin, TX
11,000 Employees
Year Founded: 2011

What We Do

CrowdStrike has redefined security with the world’s most advanced cloud-native platform that protects and enables the people, processes and technologies that drive modern enterprise. Tested and proven, the world's largest organizations trust CrowdStrike to stop breaches with unparalleled protection against the most sophisticated cyberattacks. The CrowdStrike culture has been built upon our Core Values since the day we began. We are Fanatical About the Customer, Relentlessly Focused on Innovation and believe that our Limitless Passion drives Unlimited Potential for every CrowdStriker. As a purpose-built remote-first company, we believe cultivating a connected culture for every employee, no matter where they are in the world, is a key ingredient in building a high-performing, diverse team. We don’t have a mission statement. We’re on a mission—to stop breaches. Ready to join a mission that matters?

Why Work With Us

We have a culture that celebrates achievement, encourages flexibility and innovation and thrives on teamwork. We all work towards a single mission: to stop breaches. This common goal drives a sense of community and connection among our people across the globe.

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CrowdStrike Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQAustin, TX
Osaka
Aarhus, DK
Arlington, VA
Barcelona, ES
Bengaluru, IN
Brussels, BE
Bucharest, RO
Cheltenham, GB
Copenhagen, DK
Dubai, Dubai
Irvine, CA
Kirkland, WA
Minneapolis, MN
Mumbai, IN
New Delhi, IN
Pune, IN
Reading, GB
Riyadh, SA
Saint Louis, MO
Singapore
Sunnyvale, CA
Sydney, Sydney
Tel Aviv-Yafo, IL
Tokyo, Japan
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