Senior ML Engineer - AI for Secure, Scalable Inference (Remote)

CrowdStrike Inc.; Boise (ID); Remote; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market-leading compensation and equity

Wellness programs

Generous vacation and holidays

Paid parental leave

Professional development

Employee networks

Vibrant culture

Job summary

CrowdStrike is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team. You will support data science with high-throughput, low-latency LLM inferencing, post-training, and data engineering aligned with rigorous evaluations.

You’ll help enterprise users interact safely with AI applications, designing for the AI age in a highly collaborative environment. The role emphasizes strong engineering practices, end-to-end ownership, and mentorship across teams, with opportunities to

Qualifications

• Experience enabling data science workflows at scale.
• Deep understanding of LLM post-training methods and architectures.
• Knowledge of scalability and distributed systems concepts such as sharding and concurrency.
• Ability to collaborate in a cross-functional team and meet commitments.

Responsibilities

• Innovate with state-of-the-art ML tech to accelerate data science.
• Provide pragmatic support for fast-moving research teams.
• Implement high-quality scalable solutions for customer-facing apps.
• Analyze to identify vulnerabilities or gaps in systems.
• Build and maintain data pipelines and train/customize models.
• Collaborate across teams to design and implement solutions.
• Commit to continuous learning and self-improvement.

Skills

Data engineering

LLM post-training

Distributed systems

Team player

Engineering best practices

Tools

Docker

Kubernetes

AWS

GCP

Kafka

Cassandra

Spark

ElasticSearch

Terraform

Ansible

Job description

CrowdStrike is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team. You will support data science with high-throughput, low-latency LLM inferencing, post-training, and data engineering aligned with rigorous evaluations.

You’ll help enterprise users interact safely with AI applications, designing for the AI age in a highly collaborative environment. The role emphasizes strong engineering practices, end-to-end ownership, and mentorship across teams, with opportunities to