Do a Mock Interview with

I am a Staff ML Engineer & Researcher by profession and co-author of the book "Sculpting Data for ML." I have experience designing low-latency, massive-scale ML pipelines from scratch. I have extensively published and reviewed papers at top ML conferences (RecSys, ACL, KDD, ICML, etc) in NLP (LLMs / GenAI) and Deep Learning domains (1000+ citations). I am also an instructor at InterviewKickstart, teaching Deep Learning and GenAI to help candidates crack their next FAANG interview.

I have taken 200+ ML interviews (Modeling / Systems / Foundational / Research) to date across all levels (MLE I to Sr. Staff MLE) at big tech (Twitter/Amazon) as well as startups. I can provide you with a successful high-level structure to follow for any ML interview. More about me @ rishabhmisra.github.io

If you’re an aspiring ML professional, early-career ML engineer, experienced engineer pivoting to ML, researcher, academic, or ML enthusiast, you’ve come to the right place. I offer personalized mentorship, mock interviews, portfolio advice, guidance on ML fundamentals and research, hands-on experience strategies, the ML job market, and industry trends.

A bit about my background: I am a Staff ML Engineer & Researcher with over 10 years of experience in the AI and ML space. I am currently leading a foundational ML team driving 0 to 1 AI‑powered personalization efforts for Conversational Commerce, powered by Deep Learning and GenAI, at a late-stage startup and have previously led AI-powered user personalization at Twitter and Amazon. I specialize in designing low-latency, large-scale Deep Learning models and shipping them to production.

I have extensively published in NLP (Large Language Model / GenAI), Deep Learning, and Applied ML domains accumulating over 800 citations, and currently utilize my expertise as part of the research committee at leading AI conferences like ICML, KDD, TheWebConf, and so on. Due to my extensive contributions to ML Research, I am recognized by the US Government as one of the outstanding researchers.

I campaign for a data-centric approach to AI and have co-authored a book on the topic: Sculpting Data for ML. I also consult startups on AI and currently serve on Meta’s Advisory Council. My work has been featured extensively in media, notably by TechCrunch, Times of India, The Sun, Hindustan Times, Gizmodo, NBC, and Slash Film. In my downtime, I enjoy watching sci-fi shows, exercising, gaming, and spending time with my family. I presently live in the San Francisco Bay Area.

You can find out more about me @ rishabhmisra.github.io