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Research Scientist

As a Research Scientist at OpenAI, you will be on the cutting edge of artificial intelligence development, pushing the boundaries of what is possible with large-scale models. The role demands deep expertise in areas such as transformer architectures, generative models, and complex system optimization. Key responsibilities include designing novel experiments, developing state-of-the-art solutions, publishing research findings, and mentoring junior team members. This position requires a strong academic background (Ph.D. preferred) combined with hands-on experience implementing advanced ML algorithms in production environments. Success in this role means contributing foundational knowledge that shapes the future of AI technology for global impact. This is an opportunity to tackle humanity's grandest challenges.

openai San Francisco, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

3200

Question set

180

Duration

Permanent

Focus areas

Machine Learning ResearchDeep LearningNatural Language ProcessingAI Model Development

People Also Ask (FAQs)

What is the last date to apply for Research Scientist?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Research Scientist?

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 Research Scientist 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: Machine Learning Research, Deep Learning, Natural Language Processing, AI Model Development.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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