Sr. Machine Learning Engineer (Remote)

Crowdstrke
United States
Workplace: RemoteFull timeUSD 140,000 - 215,000 annuallyFunction: Data Science & Machine LearningSkills: ["Teamwork","Collaboration","Self-improvement","Coding quality","Ownership"]

Build and support scalable, high-throughput, low-latency LLM inference for customer-facing AI applications. Collaborate with data scientists and engineers to handle LLM post-training, data engineering aligned to rigorous evaluations, and end-to-end delivery (develop, test, deploy, monitor). Implement production-quality solutions with strong testing, logging, and metrics, while analyzing potential vulnerabilities and improving data pipelines and performance across distributed GPU-focused systems.

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FursaFursa
Crowdstrke
Crowdstrke
4 days ago

Sr. Machine Learning Engineer (Remote)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and support scalable, high-throughput, low-latency LLM inference for customer-facing AI applications. Collaborate with data scientists and engineers to handle LLM post-training, data engineering aligned to rigorous evaluations, and end-to-end delivery (develop, test, deploy, monitor). Implement production-quality solutions with strong testing, logging, and metrics, while analyzing potential vulnerabilities and improving data pipelines and performance across distributed GPU-focused systems.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Innovate with state-of-the-art machine learning technology to accelerate data science.
  • •Provide pragmatic support for fast-moving research and development teams.
  • •Implement high-quality, scalable solutions for customer-facing applications.
  • •Build and maintain data pipelines and contribute to training and implementation of custom models.
  • •Own work end to end: develop, test, deploy, and monitor changes while emphasizing coding quality, testing, logging, and metrics.

Pay and Benefits

Salary: USD 140,000 - 215,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveParental LeaveLearning Budget

Key Requirements

  • •Prior work experience doing data engineering and architecture in support of advanced data science use cases.
  • •Deep understanding of LLM post-training methods and computational architectures.
  • •Understanding scalability and distributed systems concepts such as sharding, partitioning, and concurrency.
  • •Strong engineering best practices, including appropriate testing, peer code reviews, and resilient architecture.
  • •Ability to thrive in a test-driven, collaborative, iterative development environment and deliver high-quality unit-tested code via continuous integration.
Experience:Machine learningLLMDistributed systemsData engineering
Skills:TeamworkCollaborationSelf-improvementCoding qualityOwnership
Tech Stack:PythonJVMDockerKubernetesAWSGCPMaaSKafkaCassandraSparkElasticSearchTerraformChefAnsibleGPUDistributed systemsLLM post-trainingFine-tuning

Company Brief

Crowdstrke
Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sunnyvale, United States
Founded: 2011
Glassdoor
Glassdoor: 4.4
WebsiteLinkedIn