Sr. Machine Learning Engineer

DataJobs; Sunnyvale (CA); Hybrid; USD 164,000 - 295,000; Full time

Benefits offered by this job

Market-leading compensation

Equity awards

Wellness programs

Vacation & holidays

Parental leaves

Professional development

Employee networks

Office culture

Great Place to Work Certified

Job summary

CrowdStrike is seeking a Sr. Machine Learning Engineer for the AIDR Engineering Team in Sunnyvale, CA. You will work on high-throughput, low-latency LLM inferencing, post-training tasks, and data engineering to support safe enterprise AI interactions.

You will collaborate across teams to build scalable pipelines, apply advanced ML methods, and mentor engineers while maintaining strong code quality and rigorous testing.

Qualifications

• Experience in data engineering and architecture for advanced data science use cases.
• deep understanding of LLM post-training methods and architectures.
• Knowledge of scalability and distributed systems (sharding, partitioning, concurrency).
• Strong fundamentals in testing, code reviews, and CI workflows.
• Experience applying AI to improve decision-making and workflows.

Responsibilities

• Apply state-of-the-art ML approaches to accelerate data science delivery.
• Provide pragmatic engineering support to research teams.
• Implement high-quality solutions for customer-facing apps at scale.
• Maintain data pipelines for model training and deployment.
• Collaborate across teams to define and develop solutions.
• Own end-to-end development, testing, deployment, and monitoring.

Skills

Data engineering

LLM post-training

Distributed systems

Team player

Testing & CI

AI in business

High-assurance coding

Proactive learning

Tools

Python

JVM

Docker

Kubernetes

AWS

GCP

Kafka

Spark

Cassandra

Terraform

Ansible

GPUs

Job description

CrowdStrike 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.

Responsibilities

• 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.

Requirements

• 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.

Technologies

• Python
• JVM technologies
• Docker
• Kubernetes
• AWS
• GCP
• 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-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

Role Details

Location: Sunnyvale, CA (remote)

Compensation: USD 164,000 - 295,000 per yearly