GenAI Research Intern (Remote, ROU)

Full Details of Job Post

​​#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:
We are seeking a highly motivated Student/PhD to join our GenAI Research team as an intern. As a GenAI Research Intern, you will collaborate with our team to explore a research direction established in conjunction with our experts. Your primary goal will be to conduct innovative research with the aim of publishing your findings at top-tier (A*) conferences. This internship provides an exceptional opportunity to contribute to the advancement of General Artificial Intelligence (GenAI) and gain valuable experience working alongside industry leaders in the field.

What You'll Do:

• Conduct research in a designated area of GenAI, as established with the GenAI team

• Design, implement, and evaluate experiments to advance the state-of-the-art in GenAI

• Collaborate with the GenAI team to refine research ideas and approaches

• Prepare and submit research papers to top-tier conferences

• Present research findings to the GenAI team and other stakeholders

What You'll Need:

• Currently pursuing a degree (Bachelor's, Master's, or PhD) in Computer Science, Artificial Intelligence, or a related field

• Strong background in AI, machine learning, and deep learning

• Excellent research and problem-solving skills

• Proficiency in programming languages relevant to AI research (e.g., Python, C++)

• Strong communication and collaboration skills

Duration: 3 months (to be extended to 6 months)

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