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Career Advice About Meta

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Finding more scope internally vs. swapping company

Mid-Level Data Engineer [L4] at Google profile pic
Mid-Level Data Engineer [L4] at Google

I've been a Data Engineer for most of my career and my observation is that scope as a Data Engineer can plateau and therefore I see a lot more L4/5 DE's than L6+. I think it is because you don't impact the bottom line directly and regularly.

At FAANG's I've worked at so far, finding new scope can be difficult even when you are working with stakeholders: it is "easier" to scope/build a product (i.e. SWE work) and show metrics of success to add value vs building a data pipeline which may be limited to them having a reporting need for example which often isn't the case especially in a more established firm.

I moved into a partner facing DE role to help more with scope/stakeholder exposure. The highest impact project I worked on so far is influencing an internal team to change the way we measure a particular metric. This involved mostly stakeholder management and nothing more complex than SQL queries from a technical standpoint. While it was fulfilling, this is also something I 'stumbled' upon and is rare due to challenges like partner scope/vision is limited/slow (their leadership can change and therefore you projects/ideas can), technical challenges of automating things because of larger concerns (e.g. privacy, lack of infra on their side which you have no control over) and so on (you generally have even less control than an internal DE).

In my current role, I am generally able to derive projects, but (in my opinion) they are limited in scope/value: i.e. build a pipeline, deliver an analysis. Therefore, even though the projects 'ticks the boxes' for an L5, it is not really driving a 'transformation' as an L6+ would. I also directly asked my manager what are some of the hardest problems we have, and have been told we have a lot, yet, I'm not hearing or seeing them.

Given the situation, would you:

  1. Move to a SWE role internally at FAANG for a more established path 'up' (not sure this resolves the scope problem especially at FAANG as I think SWE-DE's can almost be even harder to get to L6+ on because they generally lack stakeholder visibility and focus on more top down work?).
  2. Seek roles outside of FAANG where the scope of the work is already scoped to L6+ e.g. Airbnb so the 'heavy lifting' has been done in terms of scope.
  3. Refine your scoping strategy within you own team, and if so, how?

Note: my motivation is to thrive at work, this isn't for a promo, just incase the post comes across as promo-focused. :)

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Posted a year ago
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2 Comments

Really struggling with team/engineer

Senior Software Engineer, Machine Learning [E5] at Meta profile pic
Senior Software Engineer, Machine Learning [E5] at Meta

Hi all! So I joined Meta about 7 months ago and things seemed to be going well. I was complimented on how quickly I ramped up, there was talk of fast tracking a promotion, engineers from other teams have requested to work with me again, and I was given the option to select what kind of work I wanted to do this half as I had multiple lands in my TNTE half across a few areas of the tech stack. I picked some work that was recommended to have good technical depth as that felt like the place to best showcase my abilities.

Well, since the new year, the staff level engineer I am working with feels like they are setting me up. They constantly shoot down my ideas/talk through or over me and then give the feedback (through my manager, not to me) that I'm not driving the project or other vague things I cannot interpret (manager also agrees they are vague). It also feels like they are holding my diffs hostage (has sometimes cancelled lands to make comments that aren't correct and end up amounting to no actual code change) and has straight up told me to hold off on QEs to later start them later themselves and then loads me up with busy work.

I feel like I am being setup to fail or get poor feedback and it feels horrible. I am consistently putting in 16 hours days to try and keep up with their demands. I discussed with my manager about it and didn't feel like it's going to get resolved, this engineer seems to have a lot of equity in the org. My manager said to not take it too hard and that they "hold a high bar", but this isn't holding me to a high standard, it feels slanderous. Is it too early to switch teams? How quickly can this process occur? I don't know how I would survive even a few more months like this. Any advice would much appreciated.

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Posted 2 months ago
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4 Comments

Explain day-to-day operations and decision-making in Meta

Staff Software Engineer [E6] at Meta profile pic
Staff Software Engineer [E6] at Meta

What is the prevailing culture within the organization, and how does it manifest in day-to-day operations and decision-making? The prevailing culture within an organization is the shared values, beliefs, norms, and practices that shape the social and psychological environment of a business. This culture influences employee behavior, motivates management styles, and affects decision-making processes. What are those for Meta?

What are the hidden things to notice and to worry about? For example:

  1. Cliques and Silos: Pay attention to the formation of exclusive groups or departments unwilling to share information. This can indicate a fragmented culture that hinders collaboration.

  2. Resistance to Change: If there is noticeable resistance to new ideas or changes in procedure, the culture may be rigid and resistant to innovation.

  3. Overwork and Burnout: A culture that consistently expects long hours and overwork may prioritize short-term gains over long-term employee well-being and sustainability.

  4. Turnover Rates: High employee turnover can be a red flag for issues within the organizational culture such as lack of growth opportunities, poor management, or a toxic work environment.

  5. Office Politics: Pay attention to how much politics influence decisions and progress. A culture heavily influenced by politics rather than merit can demotivate employees.

  6. Feedback Mechanisms: Lack of mechanisms for providing constructive feedback, or a culture where feedback is ignored, can indicate a culture not open to self-improvement or employee development.

  7. Diversity and Inclusion: Observe whether the organization actively supports diversity and inclusion, not just in policy but in practice, reflecting a culture of respect and equality.

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Posted a year ago
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3 Comments

Measurement of impact for MLE?

Senior Software Engineer [E5] at Meta profile pic
Senior Software Engineer [E5] at Meta

I joined my team in June this year right after bootcamp. When I joined this team, we set the goals for the half, and then got reorg-ed to a different domain (think ML for ads vs ML for recommendations).

Our models had only shown limited success in the previous domain before the reorg, we spent around 2 months (July and August) just building new versions of these models for the new domain.

It's October already, the model hasn't shown any significant success in any of our projects with XFN. We are getting closer and closer as we understand the problems better. However with code freeze in November, December - it is unlikely it will reach production or even online experiments by then.

Does that mean I would have "no impact" at my first PSC? This would be the case for all of my teammates which seems bonkers.

I thought about writing a long note with all of the progress we've made in understanding the problem (which will result in a model that's cheaper than the current one and easier to understand), what are some results we have seen already, and hypothesis on where to go next.

Still to be honest I'm scared the results I got won't be good enough to get to production by PSC-time, and thus I'll be marked as no impact. In retrospective I should have studied the problem more when I joined but I was so new to Meta.

How can I mitigate this? Looking for a side-project now I can fully own (as E5, I don't think attaching myself to a teammate's project is good enough) is unlikely to get any results with the current model we have.

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Posted 3 years ago
156 Views
1 Comment