Data Scientist - GenAI

November 4

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CrowdStrike

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Next-Generation Endpoint Protection • Endpoint Detection and Response • Next Generation Anti-Virus • Managed Threat Hunting • Incident Response

5001 - 10000

Description

• Research and prototype new AI/ML techniques to expand assistants' knowledge and skills in areas like reasoning, summarization, and interactivity • Design, develop, and productionize LLM-based models for integration into our industry-leading virtual assistant platform • Utilize large-scale, high-dimensional data to generate actionable insights, identify patterns, and visualize trends. • Continuously collect data, monitor, and improve assistant performance through testing and deployment of updated self-hosted fine-tuned models • Establish scalable ML architecture and pipelines to deploy large language model innovations into 24/7 production environments • Collaborate cross-functionally to align model updates with product roadmap and user needs • Disseminate findings through publications and presentations, bolstering CrowdStrike's thought leadership in AI/ML applications in cybersecurity • Collaborate with other data scientists and engineers, nurturing a culture of continuous learning and curiosity.

Requirements

• Applied machine learning research expertise (2+ years) developing and deploying production systems. • Skilled at extracting actionable insights from large, high-dimensional, sparse data across the machine learning pipeline and driving real-world impact. • Self-starter with a thirst for new challenges and technologies. • Comfortable with Python, Deep Learning frameworks (e.g. Tensorflow, Pytorch) and cloud technologies in a Linux environment. • Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. • Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT. • Interested to dive into the field of cybersecurity. • Excellent communicator with the ability to simplify complex concepts. • Robust problem-solving and critical-thinking skills. • Bonus Points: PhD in Computer Science, Statistics, Mathematics, or a related field, with a focus on data science, machine learning or AI. • Track record of research contributions, preferably in high-impact, peer-reviewed scientific journals in the field of AI/ML.

Benefits

• Remote-first culture • Market leader in compensation and equity awards with option to participate in ESPP in eligible countries • Competitive vacation and flexible working arrangements • Physical and mental wellness programs • Paid parental leave, including adoption • A variety of professional development and mentorship opportunities • Access to CrowdStrike University, LinkedIn Learning and Jhanna Offices with stocked kitchens when you need to fuel innovation and collaboration • Birthday time-off in your local country • Work with people who are passionate in our mission and Great Place to Work certified across the globe