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24 Dec, 2024
Instagram Applied Research Scientist, Instagram Core ML (PhD) Interview Questions
I recently interviewed for the
Applied Research Scientist, Instagram Core ML (PhD)
position at Meta and want to share a comprehensive account of my experience. This role is centered around cutting-edge machine learning research, with a focus on recommendation systems, deep learning, and generative models. Below is a detailed breakdown of the interview process, questions I encountered, and tips to help you prepare if you're applying for this role.
Technology
Experience
12 Dec, 2024
ByteDance Algorithm Engineer Graduate - (Enterprise Solution-AIOps-US) - 2025 Start (PhD) Interview Experience Share
If you're preparing for an interview for the
Algorithm Engineer Graduate (Enterprise Solution - AIOps - US) - 2025 Start (PhD)
position at ByteDance, you're applying for a highly specialized role that involves building cutting-edge machine learning models and algorithms for AIOps (Artificial Intelligence for IT Operations) within enterprise solutions. This role is ideal for someone with a PhD in computer science, engineering, or a related field, with a strong background in algorithms, data analysis, machine learning, and optimization techniques.
Technology
Experience
09 Dec, 2024
Meta Postdoctoral Researcher, Fundamental AI Research (PhD) Interview Experience Share
If you're preparing for an interview for the Meta Postdoctoral Researcher, Fundamental AI Research (PhD) position, here’s a comprehensive guide based on my own experience as well as insights from others who’ve gone through the process. The interview process at Meta is rigorous and multi-faceted, designed to assess both your technical expertise and your fit within their research-driven culture. Here's what to expect:
Technology
Experience
09 Dec, 2024
Meta Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD) Interview Experience Share
The interview process for a Meta Research Scientist Intern, Audio, Machine Learning, and Computer Vision (PhD) is a comprehensive and technical one, aimed at evaluating your expertise in machine learning, computer vision, and audio signal processing. As someone who has gone through this process, I’ll walk you through the stages, provide examples of questions, and offer some insights on how to succeed.
Technology
Experience
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.
Technology
Experience
09 Dec, 2024
Meta Research Scientist Intern, Embodied AI (PhD) Interview Experience Share
The interview process for a
Meta Research Scientist Intern, Embodied AI (PhD)
position is rigorous and focuses on evaluating your technical expertise, research experience, and collaborative abilities. As someone who has interviewed for this role, I’ll provide you with a comprehensive overview of the process, common questions you can expect, and tips to succeed.
Technology
Experience
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.
Technology
Experience
09 Dec, 2024
Meta Research Scientist Intern, Neuromotor Interfaces Computational Modeling (PhD) Interview Experience Share
The interview process for a Meta Research Scientist Intern, Neuromotor Interfaces Computational Modeling (PhD) position is rigorous and focused on evaluating your expertise in computational modeling, neuromotor interfaces, neuroscience, and machine learning. Meta is interested in candipublishDates who are familiar with both neuroscientific principles and engineering solutions for neuromotor interfaces, as well as those who can apply computational techniques to real-world problems. As someone who has gone through the interview process for this role, I will provide a detailed breakdown of the process, common questions, and tips for success.
Technology
Experience
09 Dec, 2024
Meta Research Scientist Intern, Perception (PhD) Interview Experience Share
The interview process for a Meta Research Scientist Intern, Perception (PhD) position is intense and focuses on evaluating your expertise in computer vision, deep learning, and perception systems. Meta is looking for candipublishDates with a strong foundation in machine learning, especially those with experience working on visual perception, sensor fusion, object detection, and scene understanding. As someone who has gone through the interview process for this role, I will provide a detailed breakdown of the steps, examples of questions, and tips for preparation.
Technology
Experience
09 Dec, 2024
Meta Research Scientist, Computer Vision (PhD) Interview Experience Share
The interview process for a Meta Research Scientist, Computer Vision (PhD) position is thorough and competitive. Meta is looking for candipublishDates with strong academic backgrounds and expertise in computer vision, deep learning, and related areas such as 3D perception, object detection, and vision-based machine learning. As someone who has gone through the process, I’ll walk you through the stages of the interview, provide examples of questions you may encounter, and offer tips to help you succeed.
Technology
Experience
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.
Technology
Experience
09 Dec, 2024
Meta Research Scientist, Machine Learning (PhD) (Singapore) Interview Experience Share
As a
Research Scientist
in
Machine Learning (PhD)
at Meta, you will be involved in cutting-edge machine learning research, with a focus on solving complex problems and applying ML techniques to real-world challenges. This role requires deep expertise in AI, a strong research background, and the ability to collaborate with cross-functional teams.
Technology
Experience
09 Dec, 2024
Meta Research Scientist, Machine Learning (PhD) Interview Experience Share
The interview process for the
Research Scientist, Machine Learning
position at
Meta
is multi-step, and it assesses various aspects of your abilities, from theoretical knowledge to practical application. Here’s how the process unfolded for me:
Technology
Experience
09 Dec, 2024
Meta Research Scientist, Systems and Infrastructure (PhD) Interview Experience Share
The
Research Scientist, Systems and Infrastructure
position focuses on advancing Meta’s core technologies for scalable infrastructure, distributed systems, and cloud optimization. This involves working with large-scale systems, improving system efficiency, and designing infrastructure solutions that scale with Meta's global user base.
Technology
Experience
06 Dec, 2024
Microsoft Senior Researcher/Senior Research SDE (AI) Interview Experience Share
-
Initial Screening
: The first stage often involves a phone call with a recruiter or hiring manager. This call focuses on understanding your background, research experience, and interest in the AI field. You may also be asked about your familiarity with specific tools, technologies, or AI research areas.