Applied AI Engineer, Cyber
As an Applied AI Engineer specializing in Cybersecurity at OpenAI, you will be pivotal in developing and implementing advanced AI models designed to combat modern digital threats. This role requires bridging deep technical expertise with real-world security challenges. Key responsibilities include architecting robust AI solutions for threat detection, vulnerability assessment, and automated defense systems. You will work within the Technical Success team, collaborating with cross-functional stakeholders to ensure that our frontier AI technologies are applied responsibly in highly sensitive cyber contexts. Qualifications include a strong background in ML/AI, hands-on experience with security protocols (e.g., SIEM, threat intelligence), and the ability to deploy scalable models. This is a hybrid role based out of San Francisco.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1850
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Applied AI Engineer, Cyber?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Applied AI Engineer, Cyber?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the openai test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Applied AI Engineer, Cyber test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Artificial Intelligence (AI), Cybersecurity, Machine Learning, Natural Language Processing (NLP).
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.