Sr. Machine Learning Engineer

CrowdStrike is hiring a Sr. Machine Learning Engineer to join the AIDR Engineering Team, supporting the delivery of high-throughput, low-latency LLM inferencing along with LLM post-training and data engineering. This remote role emphasizes scalable, customer-facing execution with strong engineering practices, autonomy, and continuous improvement.

In this position, you will help turn fast-moving research into production systems, maintain data pipelines that support custom model training and deployment, and work across teams to design solutions that improve performance, reliability, and customer outcomes.

Responsibilities

• Innovate with current machine learning technologies to accelerate data science efforts
• Provide pragmatic engineering support for fast-moving R&D teams
• Build and maintain high-quality solutions for customer-facing applications at scale
• Perform in-depth analysis to identify potential vulnerabilities or gaps
• Construct and maintain data pipelines, including contributing to the training and implementation of custom models
• Collaborate with cross-functional teams to brainstorm, define, and devise solutions
• Commit to ongoing learning and self-improvement
• Stay aligned with customer challenges and continually look for 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 environment
• Mentor other engineers across a range of technologies and absorb knowledge from peers
• Continuously explore improvements to product architecture, knowledge models, user experience, performance, and reliability
• Own work end to end with autonomy: develop, test, deploy, and monitor changes
• Thrive in an environment that values trust

Requirements

• Prior experience in data engineering and architecture supporting advanced data science use cases
• Deep understanding of LLM post-training methods and computational architectures
• Understanding of scalability and distributed systems, including sharding, partitioning, and concurrency
• Team player mindset
• Strong command of engineering best practices, including effective testing approaches, resilient architecture, and peer code reviews
• Ability to thrive in a test-driven, collaborative, iterative programming environment
• Ability to meet commitments on time while producing unit-tested, code-reviewed software and regularly checking in for continuous integration
• Proven experience applying AI to improve decision-making, streamline workflows, increase efficiency, and drive business outcomes

Technologies

• Python
• Docker
• Kubernetes
• AWS
• GCP
• MaaS
• Kafka
• Cassandra
• Spark
• ElasticSearch
• Terraform
• Chef
• Ansible

Bonus Points

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

Benefits

• Market leader compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays
• Paid parental and adoption leaves
• Professional development opportunities for employees at all levels
• 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

Tech Stack (Not Mandatory to Know Everything)

• 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 scaling inference across GPUs or GPU clusters

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