Sr. Machine Learning Engineer

Join CrowdStrike and help build scalable, customer-facing machine learning capabilities for high-throughput, low-latency LLM inferencing and the supporting ecosystem. This role on the AIDR Engineering Team emphasizes strong engineering practices, autonomy, and the ability to translate research into production-grade solutions.

Location: Remote (remote)
Salary: USD 140,000 - 215,000 per yearly

What you’ll do

As a Sr. Machine Learning Engineer, you will support fast-moving development and contribute in-depth analysis to strengthen model and system robustness. The work spans from custom model training to data engineering and implementation for customer applications at scale.

• Innovate with state-of-the-art machine learning technology to accelerate data science.
• Deliver pragmatic support for rapid R&D teams and implement high-quality solutions for customer-facing applications at scale.
• Analyze systems to identify potential vulnerabilities or gaps.
• Construct and maintain data pipelines, and contribute to training and implementing custom models.
• Collaborate across teams to brainstorm, define, and devise solution approaches.
• Emphasize top-tier coding quality through best practices, rigorous testing, and thorough logging and metrics.
• Work effectively in a collaborative, agile environment.
• Contribute to mentoring across technologies, while also learning from peers.
• Explore improvements to product architecture, knowledge models, user experience, performance, and reliability.
• Own work end to end with autonomy, including develop, test, deploy, and monitor.
• Operate in an environment that values trust, with ongoing learning and self-improvement.

What you’ll bring

• Prior experience in data engineering and architecture supporting advanced data science use cases.
• A deep understanding of LLM post-training methods and computational architectures.
• Understanding of scalability and distributed systems, including sharding, partitioning, and concurrency.
• Team-first mindset and ability to collaborate effectively.
• Strong engineering best practices, including appropriate testing paradigms, resilient architecture, and effective peer code reviews.
• Comfort working in a test-driven, collaborative, iterative programming environment.
• Ability to meet time commitments while producing high-quality software through unit testing, code review, and regular check-ins for continuous integration.
• Proven experience using AI technologies to enhance decision-making, streamline workflows, improve efficiency, and drive business outcomes.

Tech stack you may work with (not mandatory to know everything)

A robust learning capacity is essential. Experience may include:

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

Bonus points

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

Benefits 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
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe
• Health insurance
• 401k
• Paid time off