Sr. Machine Learning Engineer

CrowdStrike is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team. The role provides engineering support for high-throughput, low-latency LLM inferencing, with emphasis on LLM post-training, data engineering tied to rigorous evaluations, and collaboration that helps enable safe and secure enterprise AI interactions.

This position is based in Sunnyvale, CA (remote) and offers a salary range of USD 164,000 - 295,000 per year.

What you’ll do

• Innovate with state-of-the-art machine learning approaches to accelerate data science execution.
• Provide pragmatic support to fast-moving research and development teams.
• Build and deliver high-quality solutions supporting customer-facing applications at scale.
• Conduct 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 teams to brainstorm, define, and devise solutions.
• Commit to ongoing learning and self-improvement.
• Stay focused on customer challenges and 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 team environment.
• Mentor other engineers across a range of technologies, while also learning from them.
• Continuously explore improvements across product architecture, knowledge models, user experience, performance, and reliability.
• Own your work end to end, including development, testing, deployment, and monitoring.
• Thrive in a culture that highly values trust.

Requirements

• Experience performing data engineering and architecture in support of 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.
• Ability to work as a team player.
• Thorough understanding of engineering best practices, including appropriate testing paradigms, peer code reviews, and resilient architecture.
• Capability to succeed in a test-driven, collaborative, iterative programming environment.
• Track record of delivering on time with high-quality, unit-tested software, peer review, and regular check-ins for continuous integration.
• Proven experience using AI technologies to improve decision-making, streamline workflows, increase efficiency, and drive business outcomes.

Technologies

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

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

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 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