Machine Learning Interview Prep (L4-L8) with ML Tech Lead - prev Twitter/Amazon 30m

Machine Learning Interview Prep (L4-L8) with ML Tech Lead - prev Twitter/Amazon 30m
About this listing

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 (800+ 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

Instructions

  • Please let me know what type of interview you want to do (ML Modeling / ML Fundamentals / ML Systems)
  • Please share your resume (if possible) so that I can get a sense of your background
  • Please let me know if you want to focus on any specific aspect/case study for the interview
  • Please share job posting you're targeting (if any)


Note 1: I might not be able to help you if you're considering interviewing my present company


Note 2: Please reach out on LinkedIn in case none of the available times work for you: https://www.linkedin.com/in/misrarishabh - my DMs are open. I frequently accommodate for urgency / requested timeslots.

About the Provider
Interviewing since 2024
21 reviews
Attentive Mobile Inc, Twitter
United States
Accept camera-on sessions
Author of the book "Sculpting Data for ML", I am a Staff ML Engineer & Researcher with over 10 years of experience in AI and ML space. I am currently leading a foundational ML team driving 0->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 ship them to production. I have extensively published in NLP, 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, etc. My work has received wide media coverage, notably by TechCrunch, Times of India, The Sun, Hindustan Times, Gizmodo, NBC, and Slash Film. Due to my extensive contributions to ML Research, I am recognized by the US Government as one of the outstanding researchers.
5.0(6 reviews)
Sunil Patel
5.00
12th May 2025
Rishabh was great and provided good feedback on how to answer questions during the ML system design interview. I would highly recommend him for the interview preparation.
ming lei
5.00
6th Feb 2025
pretty good!
Akashleena Sarkar
5.00
6th Jan 2025
It was a somewhat last-minute request, but Rishabh provided invaluable support by helping me organize my preparation strategy and narrow down my focus according to the job description. He also guided me through a couple of topics I was unfamiliar with, sharing helpful resources and blog posts to get me up to speed. I feel much more supported at this point. Thank you!
Harry Guo
5.00
13th Dec 2024
thank you for the session and suggestions. it is helpful for interview prep.
Sunjeet Jena
5.00
7th Nov 2024
Rishabh is an amazing interviewer. He gave me very good feedbacks and tips. I definitely recommend that other people book mock interview sessions with him.
Sanoop Pushpajan
5.00
4th Sep 2024
I want to express my gratitude to Rishabh for his invaluable suggestions and feedback, which have significantly helped me improve the structure of my presentation. He also provided me with a clear understanding of the technical questions I might face, and even took the extra time out of his busy schedule to ensure I am well-prepared for the interview. His support has been immensely helpful.
$70.00
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4:00 AM to 4:30 AM
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5:30 AM to 6:00 AM
Cancellation Policy
• Cancel within 24 hours after the booking is accepted to get a full refund.• Requesting for a reschedule is free.Learn more
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