Data Scientist, GenAI (Remote)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate an inclusive culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

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 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.

#LI-Remote

#LI-JP2

#LI-EV1

Benefits of Working at CrowdStrike:

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• 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.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.