Sr. Machine Learning Engineer

Crowd Strike is hiring a Sr. Machine Learning Engineer for its AIDR Engineering Team, supporting high-throughput, low-latency LLM inferencing. The role combines LLM post-training and data engineering aligned to rigorous evaluations, with engineering collaboration to help enable safe and secure enterprise AI application interactions.

• Apply state-of-the-art machine learning approaches to accelerate data science delivery.
• Provide pragmatic engineering support to fast-moving research and development teams.
• Implement high-quality solutions that support customer-facing applications at scale.
• Perform in-depth analysis to identify potential vulnerabilities or gaps.
• Construct and maintain data pipelines, contributing to the training and implementation of custom models.
• Collaborate across teams to brainstorm, define, and develop solutions.
• Commit to ongoing learning and self-improvement.
• Stay aligned with customer challenges and continuously seek ways to improve support.
• Maintain top-tier coding quality through best practices, rigorous testing, and thorough logging and metrics.
• Work effectively in a collaborative, agile team environment.
• Mentor fellow engineers across a spectrum of technologies and absorb knowledge from them.
• Explore improvements to product architecture, knowledge models, user experience, performance, and reliability.
• Own work end to end with autonomy, including development, testing, deployment, and monitoring.
• Operate in an environment that values trust highly.

• Prior experience in data engineering and architecture supporting advanced data science use cases.
• Deep understanding of LLM post-training methods and computational architectures.
• Knowledge of scalability and distributed systems, including sharding, partitioning, and concurrency.
• Team player mindset.
• Strong engineering fundamentals, spanning testing approaches, peer code reviews, and resilient architecture.
• Ability to thrive in a test-driven, collaborative, iterative development environment.
• Proven ability to meet commitments on time and deliver high-quality software with unit testing, code review, and regular checks-in for continuous integration.
• Demonstrated experience using AI technologies to improve decision-making, streamline workflows, increase efficiency, and drive business outcomes.

• Python
• JVM technologies
• Docker
• Kubernetes
• AWS
• GCP
• MaaS
• Kafka
• Cassandra
• Spark
• Elastic Search
• Terraform
• Chef
• Ansible
• GPUs

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

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

• Market-leading compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays
• 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

Location: Sunnyvale, CA (remote)

Compensation: USD 164, per yearly