Optimization algorithms

22 Dec, 2024

Whatsapp Data Science Manager, WhatsApp Growth Interview Questions

As someone who has gone through the interview process for a Data Science Manager, WhatsApp Growth role, here's a detailed breakdown of what to expect and how to prepare effectively for this highly competitive position at WhatsApp.

21 Dec, 2024

Unity Performance Manager(Supply Unified) Interview Questions

The Performance Manager (Supply Unified) role at Unity focuses on optimizing supply-side operations, particularly within the realm of advertising and monetization. This role requires a mix of data analysis, strategic thinking, and a deep understanding of how Unity’s platform drives monetization in real-time games and apps.

20 Dec, 2024

Cruise Senior ML Systems Eng II, ML Compute Interview Questions

I recently interviewed for the Senior ML Systems Engineer II, ML Compute role at Cruise, and I’d like to share my experience to help others prepare. This role focuses on developing and optimizing the backend infrastructure that powers machine learning workflows, particularly those related to autonomous vehicles. The job requires deep knowledge of distributed systems, cloud technologies, and machine learning compute, with an emphasis on scalability, efficiency, and high performance.

20 Dec, 2024

Grubhub Manager, Engineering - Machine Learning Interview Questions

I recently interviewed for the Manager, Engineering - Machine Learning position at Grubhub, and the process was both challenging and rewarding. Below is a comprehensive overview of my interview experience, including the stages, the types of questions asked, and key areas of focus. This will give you a thorough understanding of what to expect if you're applying for the same role.

19 Dec, 2024

Tesla AI Research Engineer, Model Scaling, Self-Driving Interview Questions and Answers

If you're preparing for an interview for the AI Research Engineer, Model Scaling, Self-Driving role at Tesla, here's a detailed breakdown based on actual experiences and insights shared by candidates who have gone through the process. This guide will help you understand the role, the interview process, and provide you with specific examples to expect.

19 Dec, 2024

Tesla Machine Learning Engineer, Motion Planning, Self-Driving Interview Questions and Answers

If you're preparing for an interview for the Machine Learning Engineer, Motion Planning, Self-Driving position at Tesla, the process will be intensive and highly technical, requiring strong expertise in machine learning, motion planning algorithms, and autonomous driving systems. Tesla’s motion planning team focuses on developing algorithms that help self-driving vehicles navigate in real-world environments safely and efficiently.

19 Dec, 2024

Tesla Software Engineer, Foundation Inference Infrastructure Interview Questions and Answers

If you are preparing for an interview for the Software Engineer, Foundation Inference Infrastructure position at Tesla, you're applying for a role that is critical to the company's AI and self-driving technologies. The position focuses on building and optimizing the infrastructure for running machine learning models, specifically inference workloads, at scale. This role involves a blend of software engineering, system architecture, and deep learning, so the interview process will assess both your technical skills and your ability to handle complex, real-world infrastructure problems.

19 Dec, 2024

Tesla Software Engineer, Generalist, AI Inference Interview Questions and Answers

If you're preparing for an interview for the Software Engineer, Generalist, AI Inference role at Tesla, you're likely applying for a challenging position that focuses on developing and optimizing AI inference systems across a variety of Tesla's products, including autonomous driving, energy, and AI-powered services. The role is designed for engineers who can work on a range of tasks, from designing scalable infrastructure to optimizing inference algorithms for real-time systems.

19 Dec, 2024

Tesla Software Engineer, ML Performance, Dojo Interview Questions and Answers

If you’re preparing for an interview for the Software Engineer, ML Performance, Dojo position at Tesla, you're applying for a challenging and high-impact role that involves optimizing machine learning (ML) workloads, particularly in the context of Tesla's Dojo supercomputer. The position focuses on improving the performance and efficiency of ML models running on Dojo, which is Tesla’s custom-built, high-performance computing infrastructure designed for training deep learning models at scale.

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:

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.