Ai applications

09 Dec, 2024

Meta Research Scientist Intern, Embodied AI (PhD) Stagiaire chercheur, IA incarnée (doctorat) Interview Experience Share

The interview process for a Meta Research Scientist Intern, Embodied AI (PhD) position is highly technical, focused on your deep knowledge of AI, robotics, machine learning, and embodied agents. As someone who has gone through the interview process for this role, I’ll provide a comprehensive breakdown of the stages, typical questions, and tips on how to succeed.

09 Dec, 2024

Meta Research Scientist Intern, Language & Multimodal Foundations (PhD) Interview Experience Share

The interview process for a Meta Research Scientist Intern, Language & Multimodal Foundations (PhD) position is comprehensive and highly technical. Meta is looking for PhD students with strong expertise in natural language processing (NLP), machine learning, and multimodal AI. As someone who has gone through the interview process, I can give you a detailed breakdown of what to expect, the types of questions you'll face, and tips on how to succeed.

09 Dec, 2024

Meta Research Scientist Intern, Language Generative AI Interview Experience Share

The interview process for a Meta Research Scientist Intern, Language Generative AI (PhD) is rigorous and focuses on your research expertise in generative models, particularly in natural language processing (NLP), machine learning, and deep learning. As someone who has gone through this process, I will provide a comprehensive overview of what to expect, the typical questions you may face, and tips to help you succeed.

09 Dec, 2024

Meta Research Scientist, Generative AI (PhD) Interview Experience Share

As a Research Scientist in Generative AI at Meta, you will be responsible for applying advanced machine learning techniques to solve real-world challenges. This role requires deep expertise in AI research, with a focus on generative models like GANs, VAEs, and large language models. The position involves both theoretical research and practical applications, working closely with cross-functional teams to improve Meta’s AI products.