Senior ML Engineer - AI-Driven Cybersecurity (Remote)

CrowdStrike Inc.

Austin (TX)

Remote

USD 140,000 - 215,000

Full time

6 days ago
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Job summary

CrowdStrike Inc. is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team.

You will support high-throughput, low-latency LLM inferencing, data engineering aligned to rigorous evaluations, and close collaboration with applied data scientists. The role focuses on enabling secure AI interactions for Enterprise users and requires strong engineering and learning capabilities. You will design for the AI age, mentor peers, and contribute to end-to-end development, testing,

Qualifications

  • Experience in data engineering and architecture for advanced data science use cases.
  • Deep understanding of LLM post-training methods and computational architectures.
  • Understanding scalability and distributed systems (sharding, partitioning, concurrency).
  • Proven ability to work in a team, deliver high-quality software.
  • Strong emphasis on engineering best practices, testing, reviews, and CI/CD.

Responsibilities

  • Innovate with state-of-the-art machine learning tech to accelerate data science.
  • Provide pragmatic support for fast-moving research and development teams.
  • Build high-quality solutions for customer-facing applications at scale.
  • Develop and maintain data pipelines; support model training and implementation.
  • Collaborate across teams to brainstorm and implement solutions.
  • Mentor fellow engineers and continuously improve product architecture and performance.

Skills

Data engineering
LLM post-training
Distributed systems
Team player
Engineering best practices
CI/CD
AI technologies

Tools

Docker
Kubernetes
AWS
GCP
Kafka
Cassandra
Spark
Elasticsearch
Terraform
Ansible

Job description

CrowdStrike Inc. is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team.

You will support high-throughput, low-latency LLM inferencing, data engineering aligned to rigorous evaluations, and close collaboration with applied data scientists. The role focuses on enabling secure AI interactions for Enterprise users and requires strong engineering and learning capabilities. You will design for the AI age, mentor peers, and contribute to end-to-end development, testing,

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