Senior ML Engineer - AI at Scale (Remote)

CrowdStrike Inc.; Annapolis (MD); Remote; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market-leading compensation

Wellness programs

Generous vacation & holidays

Parental/adoption leaves

Professional development

Employee networks & community

Job summary

CrowdStrike is seeking a Sr. Machine Learning Engineer to join our AI Data Research Engineering team. You will support high-throughput, low-latency LLM inferencing and collaborate with data scientists to build data pipelines and custom models for enterprise-grade AI applications.

You will design robust architectures, mentor peers, and drive continuous improvements across systems, tooling, and performance while aligning with CrowdStrike’s mission and security focus.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

LLM post-training

Distributed systems

Team player

Testing and CI/CD

Autonomy

Engineering best practices

Self-driven learning

AI technologies

Performance optimization

Tools

Docker

Kubernetes

AWS

GCP

Kafka

Cassandra

Spark

Elasticsearch

Terraform

Ansible

Job description

CrowdStrike is seeking a Sr. Machine Learning Engineer to join our AI Data Research Engineering team. You will support high-throughput, low-latency LLM inferencing and collaborate with data scientists to build data pipelines and custom models for enterprise-grade AI applications.

You will design robust architectures, mentor peers, and drive continuous improvements across systems, tooling, and performance while aligning with CrowdStrike’s mission and security focus.