Sr. Machine Learning Engineer (Remote)

Socket.dev; California (MO); Hybrid; USD 140,000 - 215,000; Full time

Benefits offered by this job

Equity awards

Wellness programs

Vacation and holidays

Parental leave

Professional development

Employee networks

Office culture

Great Place to Work

Job summary

CrowdStrike is seeking a Sr. Machine Learning Engineer to join our AIDR Engineering Team, focusing on high-throughput, low-latency LLM inferencing.

You will collaborate with data scientists and engineers to support post-training workflows, data engineering, and scalable AI applications for enterprise users. In this front-line role, you'll design robust data pipelines, mentor colleagues, and contribute to architecture decisions that improve performance, reliability, and security across our AI

Qualifications

• Prior work experience in data engineering for advanced data science use cases.
• Deep understanding of LLM post-training methods and compute architectures.
• Understanding of scalability and distributed systems (sharding, partitioning, concurrency).
• Team player with strong collaboration.
• Commit to engineering best practices and code reviews.
• Ability to work in test-driven, iterative development.
• Deliver high-quality software that is unit tested and CI'd.
• Experience applying AI to improve decision-making and workflows.

Responsibilities

• Innovate with state-of-the-art ML to accelerate data science.
• Provide pragmatic support for fast-moving research teams.
• Implement high-quality scalable solutions for customer-facing apps.
• Analyze for vulnerabilities or gaps in systems.
• Build and maintain data pipelines; contribute to model training.
• Collaborate across teams to define solutions.
• Engage in ongoing learning and self-improvement.
• Stay aligned with customer challenges to improve support.
• Maintain top-tier code quality with testing, logging, metrics.
• Work in a collaborative, agile team.
• Mentor fellow engineers across technologies.
• Refine product architecture, knowledge models, UX, performance, reliability.
• Own end-to-end: develop, test, deploy, monitor.
• Thrive in environments with high trust.

Skills

Data engineering

LLM post-training

Distributed systems

Team player

Engineering best practices

Test-driven development

CI/CD

Applied AI experience

Tools

Docker

Kubernetes

AWS

GCP

Kafka

Cassandra

Spark

Elasticsearch

Terraform

Ansible

Chef

Job description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on high-throughput, low-latency LLM inferencing. In conjunction with the other engineers and data scientists on the team, you will support LLM post-training, data engineering aligned to rigorous evaluations, and broadly supporting a mission that requires close engineering collaboration with applied data scientists. Substantively, the team has a big mission: allowing Enterprise users to interact safely and securely with AI applications. This is a front-seat role in designing for the AI age. CrowdStrike is a computer security company, but we do not require candidates for this role to have prior security industry experience. We will mentor and train in security topics as needed. We do expect a strong interest in CrowdStrike's mission and a willingness to engage with the needs of our product teams and customers.

What You'll Do:

• Innovate with the state of the art machine learning technology to accelerate data science.

• Focus on pragmatic support for fast-moving research and development teams.

• Implement high-quality solutions in support of customer-facing applications at scale.

• Providing 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 various teams to brainstorm, define, and devise solutions.

• Commit to ongoing learning and self-improvement.

• Stay attuned to our customers' challenges, always seeking ways to enhance support.

• Emphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.

• Work within a collaborative and agile team environment.

• Contribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.

• Constantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.

• Own your work with autonomy, end to end: develop, test, deploy and monitor your changes.

• Thrive in an environment that highly values trust.

Tech Stack

(not mandatory to know everything; a robust learning capacity is essential)

• 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 with scaling inference across GPUs or GPU-clusters

What You'll Need:

• Prior work experience doing data engineering and architecture in support of advanced data science use cases.

• A deep understanding of LLM post-training methods and computational architectures.

• Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency.

• Be a team player.

• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.

• The ability to thrive in a test-driven, collaborative, and iterative programming environment.

• The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Bonus Points:

• Existing, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.

• Prior experience in the cybersecurity or intelligence fields.

#LI-Remote
#LI-RC1

Benefits of Working at CrowdStrike:

• 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [e-mail] for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.

Expected Close Date of Job Posting is:10-14-2026