deepmind interview reddit

Ego usually means assuming you're right without even considering the other person's point of view. Past Questions from Reddit user. We agree with each other, we just don't agree that we agree. Four stages of interviews: first a pre-interview chat with recruiter, then quiz interview, then host-matching interviews, then a culture-fit interview. [D] Finding ML internships has been a horrible experience. Anyone can confirm this? So you probably want n log n, but it's actually n^2, but it's also n!. I applied online. If you have a question or feedback on the series, message us on Twitter (@DeepMindAI using the hashtag #DMpodcast) or emailing us at podcast@deepmind.com. The first interview consists of a getting to know you better, i.e. It is valid to talk about big-O of the average case, depending on context. Finally I had a day of interviews with Program Managers and Specialists (3 interviews with four people in total). I mean they are not dumb people right? 1 or two? [–][deleted] 2 points3 points4 points 1 year ago (0 children). Reddit Resources. Fresh graduates tend to outperform rockstars with a decade or two of experience on these kinds of interviews. [–]banjaxed_gazumper 37 points38 points39 points 1 year ago (5 children). [–]TraditionalMove 4 points5 points6 points 1 year ago (9 children), [–]CMUOresama 13 points14 points15 points 1 year ago (8 children), The culture fit interview is just like a half hour conversation with an HR person. Hopefully given that I’d be interviewing for a new PhD grad role and have never worked full-time (not counting internships) they’ll ask something else. Specific applications mentioned during the interview with Demis which I find the most interesting are battery production, water desalination, and synthetic biology. In this special extended episode, Hannah Fry meets Demis Hassabis, the CEO and co-founder of DeepMind. If you're generally friendly and don't let a giant ego show through you pass, [–]tsauri 3 points4 points5 points 1 year ago (7 children). It was acquired by Google in 2014. ", [–][deleted] 24 points25 points26 points 1 year ago (14 children). Having a super score to this 200 definitions spitting interview will certainly not make you a good research scientist and does not show if you are a good fit to the position. It seems that DMG is pretty independent and their interview process is different than regular DeepMind. The important question is "how long will this take in the real world?". If you could sit those exams tomorrow and pass with flying colours, then i think you will be fine. Omar Reid — You can find me on LinkedIn and Twitter. The Tesla and SpaceX boss made his comments in an interview with The New York Times. 14 OTHERS CLICKED THIS LINK to send a PM to also be reminded and to reduce spam. Serious question. [–][deleted] -5 points-4 points-3 points 1 year ago (2 children), [+]Quentin-Martell comment score below threshold-9 points-8 points-7 points 1 year ago (1 child), [+][deleted] comment score below threshold-6 points-5 points-4 points 1 year ago (0 children), [+]thenikkkhil comment score below threshold-6 points-5 points-4 points 1 year ago (0 children), [+]thonic comment score below threshold-16 points-15 points-14 points 1 year ago (0 children). who you are, what you do, how you got where you are today and your motivation for joining the DeepMind team. [–]kevinwangg 0 points1 point2 points 1 year ago (0 children). Application. [–]novel_airline 4 points5 points6 points 1 year ago (2 children). sure, but when you're actually analyzing real algorithms in the abstract, you don't have an answer to this question. Thank you. The second interview consists of technical questions and is split into four sections between two of the engineers: computer science, math, statistics and machine learning. When people say big o colloquially, they really often mean theta. Maybe the point is "they should have so much experience with (e.g.) Also, they provided me with some resources, but these are thick books I would like to avoid. According to its annual report filed with the UK’s Companies House register, DeepMind has more than doubled its revenue, raking in £266 million in 2019, up from £103 million in 2018. It helps that it's a fairly in-demand org to be a part of within Google, so they have a steady stream of google SWEs to recruit from. [–]oarabbus 19 points20 points21 points 1 year ago (3 children). [D] Is a deep learning computer actually useful nowadays? The quiz interview is not difficult if you review your last machine learning and rl course. See the full post. It seems that DMG is pretty independent and their interview process is different than regular DeepMind. I'm aware and you've correctly diagnosed a lack of industry experience; a couple of of interviews have shown me what incredibly basic things I need to go back and review. REDDIT and the ALIEN Logo are registered trademarks of reddit inc. π Rendered by PID 25985 on r2-app-012380b778262e5e4 at 2021-02-19 09:46:36.419208+00:00 running 8d94f57 country code: US. [+]xristos_forokolomvos comment score below threshold-15 points-14 points-13 points 1 year ago (0 children), [+]wassimseifeddine comment score below threshold-12 points-11 points-10 points 1 year ago (0 children), [+]__data_science__ comment score below threshold-17 points-16 points-15 points 1 year ago (0 children), [+]RickDeveloper comment score below threshold-23 points-22 points-21 points 1 year ago (4 children), [–]RemindMeBot -5 points-4 points-3 points 1 year ago* (3 children), I will be messaging you on 2019-09-26 12:32:08 UTC to remind you of this link. I interviewed at DeepMind (London, England) in August 2019. [–]Captain_Cowboy 3 points4 points5 points 1 year ago (8 children). A discussion of runtime ought to include both average and worst-case, and big-o doesn't encapsulate that. DeepMind, in particular, was an extraordinarily prescient acquisition by then Google, now Alphabet. Sam Shead. The quiz interview is not difficult if you review your last machine learning and rl course. Literally everyone who talks about big-O knows this. Any tips or details anyone can share? I took the DeepMind quiz (and indeed am a former PhD intern), and I can confirm that it's mostly no-thinking fact-like questions. ", or "what criteria might one use for splitting in a decision tree?". They don't try to trigger people, ask anything leading, or act rude towards people to see how they respond. If you need to search the web, you're unnecessarily inconveniencing them. The process involves 1) a discussion with recruiters, 2) a 2 hours long technical test (the DeepMind quiz), 3) discussions with research scientists, 4) a final interview … [–]whymauriML Engineer 0 points1 point2 points 1 year ago (1 child), [–]spathis1 0 points1 point2 points 1 year ago (0 children). Interview. Maybe that's just a first level filtering so that they don't end up wasting their time. Example questions might be "what is the derivative of ln(x)", "what is the support of the Gamma distribution? It just turns out a lot of people in the ML world think they're the best thing since Jesus and want to let everyone else know it. Rendered by PID 25985 on r2-app-012380b778262e5e4 at 2021-02-19 09:46:36.419208+00:00 running 8d94f57 country code: US. Here are the references: ● Introduction to Algorithms, Cormen, Leiserson, Rivest, Stein, The MIT Press (2009) and Essential Algorithms, Stephens, Wiley (2013). We know the constant factor matters in the real world, but that's not what is being discussed. Both of these may be well-define functions, in which Big-O can be considered. Our pioneering research includes deep learning, reinforcement learning, theory & foundations, neuroscience, unsupervised learning & generative models, control & robotics, and safety. ", or "what criteria might one use for splitting in a decision tree?". Yeah i agree it's shitty. I just looked back through my emails. https://www.reddit.com/r/MachineLearning/comments/bf1xh2/-/elapuue, [–]whymauriML Engineer 38 points39 points40 points 1 year ago (14 children). [P] Face2WEBTOON Image Translation with Limited Data, [R] Goal-Driven Recurrent Neural Network Models of the Ventral Visual Stream. 🙃, [–]bohreffect 28 points29 points30 points 1 year ago (6 children). Why do you say that? Big-o isn't a good answer for that, for two reasons. I see your point, and mostly agree with it. I took the DeepMind quiz (and indeed am a former PhD intern), and I can confirm that it's mostly no-thinking fact-like questions. However, consider what happens if you are talking with someone at a conference, or discussing with a coworker and they bring up precision vs recall. Four stages of interviews: first a pre-interview chat with recruiter, then quiz interview, then host-matching interviews, then a culture-fit interview. I know that this process sucks but since this is such a common interview question I feel it’s foolish not to spend 5 mins brushing it up before the interview. Stuffing your head with textbook facts that can quickly be looked up in practice is an enormous waste of time. Are we writing it in Ruby or C? Often we're taking about "the function mapping input size to worst case number of operations", but it's not that unusual to talk about "the function mapping input size to average number of operations". Secondly I had a 1:1 with a Program Manager. It was literally just a normal conversation. The irony was more that typical patterns of behavior and interaction in my graduate program have not rewarded memorizing information like this. © 2021 reddit inc. All rights reserved. Recall penalizes false negatives, so its ..., F1 equally blends precision and recall, etc. Secondly, I dislike big-o. Due to the current COVID-19 pandemic, all internships in 2021 will take place virtually. ", "what is the big-O of quicksort? I'm a huge stats nerd and thought the statistics portion of the interview was super fun, but YMMV. [–]d3fenestrator 0 points1 point2 points 1 year ago (2 children), but rockstars don't get these kind of questions, most likely, [–]Sleisl 5 points6 points7 points 1 year ago (0 children), “You wrote software that half our engineers use, but you can’t invert a red-black tree on a white board so fuck off.”, [–]oarabbus 2 points3 points4 points 1 year ago (0 children). ● xUnit Test Patterns, Meszaros, Pearson Education (2007); or Refactoring: Improving the Design of Existing Code, Fowler, Addison-Wesley Professional (2018). The test is biased and overfits. But those are minor details because n2 vs. n log n makes all of that useless. I hope that my Anki deck or the linked content in this article helps you succeed with DeepMind’s interview process. I see lots of interviewing details shared for DeepMind, but none for DeepMind for Google (DMG). How to fail? (If you disagree, I would love to hear your viewpoints below as well! Because it's a bad way of evaluating candidates. Also, did you know that any answer larger than the correct answer is still valid, because of the definition of big-O? They're literally just making sure you're not a total ass. I interviewed at DeepMind. DeepMind welcomes applications from all sections of society and we're committed to ensuring that all applicants and employees are treated fairly and with respect, irrespective of their background and identity. First, because quicksort will almost always be n log n. Second, because merge sort is n log n, but with a different constant multiple, and that constant multiple matters for real-world. [R] Need help at understanding voice low-level descriptors, [R] New large-scale vision dataset/benchmark, imodels: a package extending sklearn with state-of-the-art interpretable models (e.g. My interviewers were all nice and helpful. 1 DeepMind Programmer Manager interview questions and 1 interview reviews. I really hope I don’t get such a question, because I have quite honestly never had a problem with a coworker. Get an ad-free experience with special benefits, and directly support Reddit. [–]CMUOresama 0 points1 point2 points 1 year ago (2 children). Or, any other interview process for Machine Learning based roles that you go for in the future. It's a relatively non-technical person asking about your work/life/experience etc. Tags: DeepMind, Geoff Hinton, Image Recognition, Machine Learning, Neural Networks, Reddit, Self-Driving Car Up to Speed on Deep Learning: July Update - Aug 29, 2016. Some variation of "we talked it out like adults" is usually a pass. Accuracy is independent of case, so its just the (TP + TN) / Total. If you shuffle your input in quicksort as part of the algorithm, for example, it's extremely silly to even talk about the worse case running time because it is so vanishingly unlikely as to be impossible. It's literally just a normal conversation. I see lots of interviewing details shared for DeepMind, but none for DeepMind for Google (DMG). First step was quick and enjoyable HR interview. Interview. Interview. Sure, but so what? I interviewed at DeepMind (London, England) in December 2020. [–]laxatives 1 point2 points3 points 1 year ago (0 children). I could just make something up, sure, but I don’t want to lie. As you probably know, there are four parts, each of which is 30 minutes: math, stats, CS, and ML. [–]caedin8 1 point2 points3 points 1 year ago (0 children). [–]curious_neuron 3 points4 points5 points 1 year ago (0 children). This formal definition is why I consider big-o dumb. Don't wana be a dick here, but not knowing the exact meaning these kind of suggests lack of experience to me. Hi all! DeepMind interview details: 98 interview questions and 69 interview reviews posted anonymously by DeepMind interview candidates. [–]leonoel -1 points0 points1 point 1 year ago (0 children). I don't think it's tractable to calculate such expectations in a lot of problems. Waste of effort. I interviewed at DeepMind. How many questions did you get? As you probably know, there are four parts, each of which is 30 minutes: math, stats, CS, and ML. ● Numerical Recipes, Press, Teukolsky, Vetterling, Flannery, Cambridge University Press (2007). Have you considered that maybe DeepMind not the company you are looking for or maybe you are not the type of candidate they are looking for? Press question mark to learn the rest of the keyboard shortcuts. Precision penalizes false positives, so its TP / (TP + FP). For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind’s algorithm encourages you to look at good old-fashioned probability trees. When discussing the running time, you also might discuss some assumptions -- insertion sort is n^2 assuming the input is mostly in random order, for example, though it could be n with sorted input. Other things that matter in practice are if the n is cache lookups or CPU cycles or network calls, or the CPU architecture you're dealing with. I'm arguing that this discussion is dumb and requires additional nuance. I did not say they were dumb. ", "what is the big-O of quicksort? who you are, what you do, how you got where you are today and your motivation for joining the DeepMind team. ● Introduction to Machine Learning, Ethem Alapaydin, The MIT Press (2014). DeepMind for Google is a somewhat different beast. Cuz it's more like a final exam? If you are running a quick sort on an array that doesn’t fit in memory, the performance will go to straight garbage because you have to page to the disk with every swap. Especially because is not something that will be for sure useful. Your lack of inferring context doesn't make you deeper. You're interviewing to be another entry level low tier keyboard drone, not lead humanoid robot designer. DeepMind: The podcast. lol... That cannot be the attitude they're looking for. The second interview consists of technical questions and is split into four sections between two of the engineers: computer science, math, statistics and machine learning. They changed the quiz format about a year ago. It's just a necessary condition. The process involves 1) a discussion with recruiters, 2) a 2 hours long technical test (the DeepMind quiz), 3) discussions with research scientists, 4) a final interview with the People and Culture team. This is not accurate. DeepMind London in King's Cross is home to most of our people. Yeah its pointless to memorize, but you should be able to "reverse engineer" the formulas for all of these based on your intuition. The first interview consists of a getting to know you better, i.e. Uhhhhh....I mean big-O of quicksort is not nlogn in the worst case. [–]notdelet 1 point2 points3 points 1 year ago (0 children). It wouldn't surprise me at all if the interview process was substantially different than what I experienced. Interview question for Programme Manager in London, England.What motivated you to apply for a position with DeepMind? The process took 2+ months. Researchers at DeepMind said that both the techniques and trained models could predict other qualities of interest in glass. DeepMind’s AlphaFold project used artificial intelligence to help advance the complicated challenge of protein folding. That's why he said n2 (worst case) before saying n! [–]crystal_castle00 6 points7 points8 points 1 year ago (0 children). We're talking about asymptotic behavior, where mergesort and quicksort are equivalent. Personally, I'm not too fond of preparing for interviews like tests.. Sure, but so what? I was indeed sufficiently convinced to revisit the definitions. But quicksort's big-o is N2 because by definition big-o is the upper bound. The probability tree diagram is used to represent a probability space.Tree diagrams illustrate a series of independent events or conditional … Free interview details posted anonymously by DeepMind interview candidates. But those are minor details because n^2 vs. n log n makes all of that useless. [–]ivalm -1 points0 points1 point 1 year ago (0 children). [–]bohreffect 2 points3 points4 points 1 year ago (0 children). But you can provide these useful equivalence classes to know if an algorithm is faster, slower, or basically the same as another. This is just one part of the interview. the gamma distribution that it's child's play to answer the question". DeepMind interview details: 90 interview questions and 62 interview reviews posted anonymously by DeepMind interview candidates. 27 votes, 13 comments. The company has created a neural network that learns how to play video games in a fashion similar to that of humans, as well as a Neural Turing Machine, or a neural network that may be able to access an external memory like a conventional … [–]TheEvilBlight 18 points19 points20 points 1 year ago (0 children), I guess I better go make friends with my copy of Algorithms and Data Structures, [–]TheAlgorithmist99 10 points11 points12 points 1 year ago (0 children), For Research Engineers. [–]nraw 10 points11 points12 points 1 year ago (0 children). You can, again, use theta to describe average (over a distribution of inputs) and worst case complexity. To your point about real world performance, you have to account for memory complexity. Top Jobs at DeepMind; DeepMind Research Engineer Jobs; DeepMind Programme Manager Jobs; DeepMind Software Engineer Jobs; DeepMind Research Scientist Jobs; DeepMind Program Manager Jobs; DeepMind Senior Software Engineer Jobs; By Location; DeepMind Jobs in Dublin; Related Companies; Facebook Jobs; Google Jobs; Amazon Jobs; Microsoft Jobs; Jobs Tips since it mostly involves some BS knowledge I will forget 5 minutes after the interview. [D] What is the DeepMind for Google interview process like. In general, it'll be like "tell me about a time you had a problem with a co-worker, and how you solved it." [–]ichunddu9 41 points42 points43 points 1 year ago (23 children), [–]MrScientist_PhD 62 points63 points64 points 1 year ago (9 children). I can answer half of those, will they accept me? [–]probablyuntrueML Engineer 43 points44 points45 points 1 year ago (8 children), I love being just a book of facts and trivia that could instead be easily googled, it's why I got into programming in the first place! HR phone interview Quizz 2h on ML, stats, math, cs software engineer interview 45min : quizz followed by a leetcode exercise leads interviews : converstions about your research and your work HR interview : cultural fit [–]Jorrissss 6 points7 points8 points 1 year ago (0 children). Parent commenter can delete this message to hide from others. [–]CMUOresama 0 points1 point2 points 1 year ago (0 children), [–]TemporaryTelephone7 1 point2 points3 points 1 year ago (0 children). What you quoted doesn't really have anything to do with average or worst or etc case. [–]socratic_bloviator 9 points10 points11 points 1 year ago (7 children). [–]RewardingGoblin 18 points19 points20 points 1 year ago (1 child), I spoke to an engineer from DMG at a conference and she said that they almost exclusively hire people who've worked at Google in the past (for the engineer position, scientist they're a bit more laxed) because then they already know the internal technologies and don't need to be taught. https://en.wikipedia.org/wiki/Big_O_notation. Final step is culture fit. You're hired! I hear that side as well. DeepMind released the FermiNet code after demonstrating its work on a deep learning model that can predict glass molecules’ movement as they transition between liquid and solid states. Now for interns it's 45 minutes CS principles + leetcode and 45 minutes mathematics + code review (all with real people interviewing you, not just electronic). [–]bohreffect 5 points6 points7 points 1 year ago (0 children). Four stages of interviews: first a pre-interview chat with recruiter, then quiz interview, then host-matching interviews, then a culture-fit interview. Interview. You can absolutely use big o notation to describe the worst case runtime of an algorithm. There’s no quiz anymore, it’s just normal experience, coding, and ML phone screens now. I got an invitation for a follow-up call with them 8 days after the quiz, and the follow-up call happened exactly two weeks after the quiz. We're talking about asymptotic behavior, where mergesort and quicksort are equivalent. What is the best way to prepare for it? We certainly use big-o that way, but IIUC that's actually not true by the formal definition of it. Don’t know why the replier only quoted the quiz... [–]rparvez 2 points3 points4 points 1 year ago (0 children). Finally, in the real world, guarantees and consistency are key: you probably want to minimize the worst possible scenario rather than the average. Interviewer did not like that. Episode 8: Demis Hassabis - The interview. I heard it's only a sort of "fact checking" interview involving computer science, maths, stats and ML: questions where you either know the answer, or you don't, no thinking involved.

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