Sr. Machine Learning Engineer (Remote)
Company websitecrowdstrike.com (CrowdStrike, opens in new tab)
Base salary $140K to $215K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (27 min ago) · observed since
About this job
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 [email protected] 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:10-14-2026Source: CrowdStrike on Workday · View original posting (opens in new tab)
This listingSr. Machine Learning Engineer (Remote)$140K to $215K
Sr. Product Manager, Red Teaming AI – AIDR (HYBRID)$140K to $215K
Sr. Engineer - Cloud Backend (Hybrid) - Sunnyvale$140K to $215K
Sr. Software Engineer - Cloud - Risk Analytics (Hybrid)$140K to $215K
Sr. Engineer - Risk Platform (Hybrid)$140K to $215K
Engineering, Manager - Data Ingestion, NG-SIEM (Hybrid)$140K to $215K
Sr. Software Engineer, Infrastructure (Remote)$140K to $215K
Chart as a table
| Role | Published base |
|---|---|
| Sr. Machine Learning Engineer (Remote) (this listing) | $140K - $215K |
| Sr. Product Manager, Red Teaming AI – AIDR (HYBRID) | $140K - $215K |
| Sr. Engineer - Cloud Backend (Hybrid) - Sunnyvale | $140K - $215K |
| Sr. Software Engineer - Cloud - Risk Analytics (Hybrid) | $140K - $215K |
| Sr. Engineer - Risk Platform (Hybrid) | $140K - $215K |
| Engineering, Manager - Data Ingestion, NG-SIEM (Hybrid) | $140K - $215K |
| Sr. Software Engineer, Infrastructure (Remote) | $140K - $215K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-05
Where this pay comes from
Location as the employer wrote it: USA - Remote
levant 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
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
