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ML Job Interviews: The Ultimate Guide – Silvia Sapora

silviasapora.github.io · 4,572 words · saved by 10 readers

I thought it might be helpful to write about my experience finding a job as a Research Scientist after a PhD in Machine Learning. There's almost zero information out there on this, and I wish someone had written it when I was starting out. I hope this is useful whether you're in the thick of it or just thinking about getting started. My process was, overall, successful: I received offers from every company I completed interviews with including: DeepMind (which I accepted), Isomorphic Labs, Cohere, Meta, and a startup in stealth. A few caveats to the first claim: Anthropic, Mistral, and TeslaAI got back to me too late and I didn't complete those processes. ReflectionAI, the one genuine rejection: they didn't like me for the RS role but switched me to their Engineering track instead. Getting interviews is its own challenge, and if you're struggling with it, the levers are the usual ones: more papers, trendier topics, and better internships. You can look at my CV on my website for referen

Career · June 2026 ML Job Interviews: The Ultimate Guide How I found a Research Scientist role after a PhD in Machine Learning I thought it might be helpful to write about my experience finding a job as a Research Scientist after a PhD in Machine Learning. There's almost zero information out there on this, and I wish someone had written it when I was starting out. I hope this is useful whether you're in the thick of it or just thinking about getting started. My process was, overall, successful: I received offers from every company I completed interviews with including: DeepMind (which I accept

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