[D] Diffusion research interview experience?

<!-- SC_OFF --><div class="md"><p>I've been using AI extensively for ML research, and I've noticed a bottleneck: brainstorming research directions and generating smoke run

<!-- SC_OFF --><div class="md"><p>I have a technical interview for a machine learning position coming up, and I'm really nervous. Can you tell me about your experiences with this

<!-- SC_OFF --><div class="md"><p>I want to share an interview experience anonymously in case it helps others on the job market.</p> <p>I was approached about a Vancouver ML role

<!-- SC_OFF --><div class="md"><p>I have an Initial Technical Screen interview (45 Mins) coming up for ML Scientist II: Agentic AI role, and wanted to know what to expect.</p>

<!-- SC_OFF --><div class="md"><p> I could really use some outside perspective.</p> <p>I’m a senior ML/CV engineer in Canada with about 5–6 years across research and industry.

<!-- SC_OFF --><div class="md"><p>I’ve been thinking about the current state of machine learning PhDs, including my own work, and I’d like to hear how others see it.<br /> My

<!-- SC_OFF --><div class="md"><p>I recently finished <em>The Principles of Diffusion Models</em>, and honestly I think it’s exceptional.</p> <p>The authors strike a really good

<!-- SC_OFF --><div class="md"><p>This wasn't always the case, but now almost any research topic in machine learning that you can imagine is now being done MUCH BETTER in industry