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      Rokt

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      Ricerche correlate: Recensioni su Rokt | Offerte di lavoro di Rokt | Stipendi di Rokt | Benefit di Rokt
      Colloqui di RoktColloqui per Senior Machine Learning Engineer presso RoktColloquio di Rokt


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      Colloquio per Senior Machine Learning Engineer

      16 mar 2023
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Rokt nel mese di feb 2023

      Colloquio

      1st initial background + experience interview two rounds of coding + technical interviews 1 round of system design the process is relatively long. 2 coding round is easy-medium problems system design requires some project experience in the e-commerce system

      Domande di colloquio [1]

      Domanda 1

      Design a CVR prediction model
      Rispondi alla domanda

      Altre recensioni di colloqui per Senior Machine Learning Engineer presso Rokt

      Colloquio per Senior Machine Learning Engineer

      3 feb 2023
      Candidato anonimo a colloquio
      Sydney
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Rokt (Sydney) nel mese di mar 2022

      Colloquio

      TL;DR: they want Data Engineers who did an online ML course. I only enjoyed speaking with 1 person, the rest of my interactions were the worst of what tech has to offer. Their success comes from their sales team (which I don't begrudge, stop pretending your ML algorithms are the core of your success). They have no diversity, culture that seems to be based on implicit hierarchy, expect a techbro culture turned to 11. They're probably going to have harassment cases or at the very least some kind of Workplace bullying. They lose people to Canva constantly (though not in reverse) and instead of hiring local talent and teaching them what they need, they instead throw interviews that would probably work in SF/NY instead of realising that webscale devs are much rarer in Sydney. Finally, I decided to put this review (interview was like a year ago), because I ran into a former Rokt recruiter who told me I dodged a bullet, and then mentioned that Rokt has a pending lawsuit over harassment. The process went 1. Send me an online personality quiz which I refused to do. This should've been the first red flag 2. A 3rd party recruiter reached out to me at which point I got to speak to an Engineering Manager (who was the only person I liked in this entire process) 3. I had a choice of take home leetcode or in person leetcode. I chose the in person leetcode. They were non-trivial, especially for Sydney based tech which don't do much leetcode. I imagine a lot of people get rolled by this round which is why they've been recruiting ML engineers for the past year. I got all of them right with time to spare, but I was a bit lucky there. I will say writing tests for your leetcode is an incredibly effective way to develop fast. (Use pytest in your IDE, not the inbuilt hackerrank garbage) 4. Had an in-person coding interview with the Engineering Manager which was much simpler and more on par with what I think the level should be. We had a good discussion about coding and I talked a bit about how I had impacted my previous org. This was the only good experience I had and I hope that engineering manager finds a better company. 5. ML interviewer appears to have done a online course on ML and it felt like I was going through a checklist of ML. If I went a bit deeper into anything, he instantly changed topic and didn't engage. We covered a large amount of surface but with no depth. You could honestly get a competent software engineer, sign them up for an online ML course and they'd probably pass. By far the lowest level of ML interview I've done. I have questions that go more in depth for my interns than what Rokt did for me. 6. Systems Design - this was a bit of a disaster, I have no web scale background, so when I was asked to design some kind of system, I had no grounding to work with. I talked about accessing data, but was then told I wasn't allowed to access this data since it belong to another team. Apparently the solution was to use S3 as my backed? It was a situation where you had to know how exactly to build it or you had no way to build to an exact solution. Instead of getting help, I got belittled for not knowing, was told my smaller scale experience was irrelevant and basic, and the industry I worked in was very primitive. He ended up saying that they usually only hire from AWS and google because no other tech firms in Sydney have the right experience. I also got quizzed on basic databases after that, but again when I asked him some deeper questions, I got no answers. 7. So despite failing Systems Design, I got passed through downleveled (1 below Senior) to the CTO interview. I was told that we didn't need to waste anyones time and I could just pull out of the interview. I was a bit vengeful and scheduled an interview at an inconvenient time for the CTO (in NY) where upon I realised the company is actually a sales firm - like 300 sales people to < 100 engineers and the ML they're proud of is pretty much a very basic thing (hence the terrible ML interview). When I talked about wanting a larger company to grow, I was told they had a scrappy startup culture and only those with drive and motivation would succeed. I was a bit gobsmacked by this - you're a 400 headcount, you're too large for that model to work, it should already be breaking down. And I'm wording this a lot nicer than what the CTO said. I've worked at Investment Banks and Management Consulting with better culture. Anyways, they didn't even email to reject me, my recruiter had to call them up to ask. I think I was effectively rejected with my downlevel, but I didn't take the hint.

      Domande di colloquio [1]

      Domanda 1

      Systems Design for how Rokt's product works (think how Amazon recommends products when you add something to your basket/look at a product).
      1 risposta
      3

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