• 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

Desirable

• CrowdStrike is actively looking for Data Scientists to join our team building the next generation of AI assistants powered by large language models (LLMs)
• You will work closely with other scientists, software engineers and product managers to guide the development of our assistants' underlying ML models and capabilities
• We provide a fast-paced, innovative environment to create technology that improves people's lives
• This is a unique opportunity to play an integral role in developing AI assistants that will revolutionize how we access information and interact with technology
• Working collaboratively with a multidisciplinary team, you'll apply your insights to tackle complex cybersecurity problems
• This opportunity presents a dynamic, growth-oriented startup environment for a driven, research-focused professional
• 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