{"id":59076,"url":"https://alion.io/job/crowdstrike-sr-machine-learning-engineer-remote","title":"Sr. Machine Learning Engineer (Remote)","company":{"id":2153,"name":"CrowdStrike","domain":"crowdstrike.com","url":"https://alion.io/company/crowdstrike","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":23,"ghost_share":0.043,"stale_share":0.261,"repost_share":0.043,"time_to_fill_p50_days":29,"computed_at":"2026-09-30T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":141000,"max_usd":252000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":222},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Crowdstrike","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"Ansible","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T14:31:05Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ghost","repost_count":3,"flags":["repost"],"days_open":47},"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.\nAbout the Role:\nCrowdStrike 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.\nWhat You'll Do:\nInnovate with the state of the art machine learning technology to accelerate data science.\n\nFocus on pragmatic support for fast-moving research and development teams.\n\nImplement high-quality solutions in support of customer-facing applications at scale.\n\nProviding in-depth analysis to identify potential vulnerabilities or gaps.\n\nConstruct and maintain data pipelines,and contribute to the training and implementation of custom models.\n\nCollaborate across various teams to brainstorm, define, and devise solutions.\n\nCommit to ongoing learning and self-improvement.\n\nStay attuned to our customers' challenges, always seeking ways to enhance support.\n\nEmphasize top-tier coding quality by adhering to best practices, rigorous testing, and thorough logging and metrics.\n\nWork within a collaborative and agile team environment.\n\nContribute to mentoring fellow engineers across a spectrum of technologies and also absorb knowledge from them.\n\nConstantly explore ways to refine product architecture, knowledge models, user experience, performance, and reliability.\n\nOwn your work with autonomy, end to end: develop, test, deploy and monitor your changes.\n\nThrive in an environment that highly values trust.\n\nTech Stack (not mandatory to know everything; a robust learning capacity is essential):\nHigh level coding language such as JVM technologies or Python\n\nDocker\n\nKubernetes\n\nAWS, GCP, or MaaS\n\nKafka, Cassandra, and Spark\n\nElasticSearch\n\nTerraform, Chef, or Ansible\n\nExperience with scaling inference across GPUs or GPU-clusters\n\nWhat You'll Need:\nPrior work experience doing data engineering and architecture in support of advanced data science use cases.\n\nA deep understanding of LLM post-training methods and computational architectures.\n\nUnderstanding scalability and distributed systems e.g. sharding, partitioning, and concurrency.\n\nBe a team player.\n\nA thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.\n\nThe ability to thrive in a test-driven, collaborative, and iterative programming environment.\n\nThe 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.\n\nProven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n\nBonus Points:\nExisting, demonstrable applied work in scalable architectures for LLM post-training or fine-tuning.\n\nPrior experience in the cybersecurity or intelligence fields.\n\n#LI-Remote\n#LI-RC1\nBenefits of Working at CrowdStrike:\nMarket leader in compensation and equity awards\n\nComprehensive physical and mental wellness programs\n\nCompetitive vacation and holidays for recharge\n\nPaid parental and adoption leaves\n\nProfessional development opportunities for all employees regardless of level or role\n\nEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connections\n\nVibrant office culture with world class amenities\n\nGreat Place to Work Certified™ across the globe\n\nCrowdStrike 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.\nCrowdStrike 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.\nIf 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  for further assistance.\nFind out more about your rights as an applicant.\nCrowdStrike participates in the E-Verify program.\nNotice of E-Verify Participation\nRight to Work\nCrowdStrike, 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.\nExpected Close Date of Job Posting is:10-14-2026","description_format":"text","description_chars":7658,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Health insurance","Professional development","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Threat Intelligence","Endpoint Security","Information Security","Security Operations"],"lifecycle":[{"event":"open","at":"2026-08-14T00:00:00Z"},{"event":"close","at":"2026-08-29T11:41:32Z"},{"event":"reopen","at":"2026-09-04T00:03:52Z"},{"event":"close","at":"2026-09-04T18:28:49Z"},{"event":"reopen","at":"2026-09-10T00:45:18Z"},{"event":"close","at":"2026-09-10T15:50:12Z"},{"event":"reopen","at":"2026-09-25T18:28:59Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.36,"age_days":47,"expected_fill_days":29,"reasons":["conf:0","repost:3","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/crowdstrike-sr-machine-learning-engineer-remote","json_url":"https://alion.io/job/crowdstrike-sr-machine-learning-engineer-remote.json","meta":{"generated_at":"2026-10-01T00:17:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":368,"day_limit":5000,"remaining_today":4632,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}