Remote Data Scientist (GenAI)

About The Role

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.

What You'll Do

• 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.

What You'll Need

• 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 in diving 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 Of Working At CrowdStrike

• Remote-first culture.
• Market leader in compensation and equity awards with the 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 about our mission and Great Place to Work certified across the globe.

CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning, and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.