@michaelrzhang.bsky.social
Machine Learning Research at University of Toronto / Vector Institute
Love how Stephen King ends his book:
Writing is magic, as much the water of life as any other creative art. The water is free. So drink. Drink and be filled up.
Thank you for sharing! I appreciate the depth and detail of your writeup.
25.02.2025 03:55 — 👍 1 🔁 0 💬 0 📌 0
OCR'ed text from screenshot of top of post: LLM (ML) Job Interviews (Fall 2024) - Process A retelling of my experience interviewing for ML/LLM research science/engineering focused roles in Fall 2024. This post has two parts: Job Search Mechanics (including context, applying, and industry information), which you can continue reading below, and, Preparation Material and Overview of Questions, which you can read at LLM (ML) Job Interviews - Resources Disclaimer Last Updated: Dec 24, 2024 This is the process I used, which may work differently for you depending on your circumstances. I am writing this in December 2024, and the process occurred during Fall 2024. Given how rapidly the field of LLMs evolves, this information might become outdated quickly, but the general principles should remain relevant. (more...) Read at: https://mimansajaiswal.github.io/posts/llm-ml-job-interviews-fall-2024-process/
I interviewed for LLM/ML research scientist/engineering positions last Fall. Over 200 applications, 100 interviews, many rejections & some offers later, I decided to write the process down, along with the resources I used.
Links to the process & resources in the following tweets
