Data Scientist, Applied AI/ML

Crowdstrke
United States
Workplace: RemoteFull timeUSD 120,000 - 180,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Technical leadership","Mentoring","Communication","Strategic decision-making"]

Build and advance applied AI/ML capabilities, including LLM-driven applications focused on AI safety and cyber detection. Partner with scientists, engineers, and product teams to deliver end-to-end R&D—data sourcing/labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering collaboration. Shape GenAI architecture, training, and deployment strategies, drive research into new agents/LLMs, and mentor others while balancing accuracy, efficiency, and deployment costs.

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Crowdstrke
Crowdstrke
4 days ago

Data Scientist, Applied AI/ML

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Last checked: 5 hours agoStatus: Live

Job Summary

Build and advance applied AI/ML capabilities, including LLM-driven applications focused on AI safety and cyber detection. Partner with scientists, engineers, and product teams to deliver end-to-end R&D—data sourcing/labeling, advanced modeling, evaluation/benchmarking, and product-ready engineering collaboration. Shape GenAI architecture, training, and deployment strategies, drive research into new agents/LLMs, and mentor others while balancing accuracy, efficiency, and deployment costs.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop AI safety and cyber detection solutions using efficient AI/ML approaches.
  • •Co-develop end-to-end R&D from data sourcing/labeling through advanced modeling and evaluation/benchmarking.
  • •Collaborate with product and engineering to design and build fit-for-purpose, maintainable solutions.
  • •Drive LLM-related research and development, including GenAI agents/LLMs, architecture choices, training approaches, and deployment strategies.
  • •Mentor Data Scientists, lead cross-functional initiatives, and establish evaluation frameworks and technical standards.

Pay and Benefits

Salary: USD 120,000 - 180,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveParental LeaveAdoption Leave

Key Requirements

  • •PhD or Masters in Computer Science, Data Science, or a related field.
  • •5+ years of applied machine learning/research experience delivering production-grade models.
  • •Deep expertise in LLM training or post-training/deployment at scale.
  • •Strong technical leadership experience, including mentoring teams and driving technical strategy.
  • •Advanced knowledge of Python, deep learning frameworks, and cloud technologies.
Experience:Research-to-productionCybersecurity
Education:PhD / Doctorate
Skills:Technical leadershipMentoringCommunicationStrategic decision-making
Tech Stack:PythonDeep LearningLLMGenAIGPUCloud technologiesAI/MLAI red-teaming

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