Profile picture

Career Advice About Meta

Videos and discussions from Taro to grow your tech career.

Resume feedback and questions for a pivot into junior back-end roles?

Data Engineer at Meta profile pic
Data Engineer at Meta

Hi everyone, I'm looking to optimize my resume () and would love some feedback on it. I also have two specific questions about it.

  1. Should I even include my personal projects in my resume? Neither have any active users, so all they do is show that I can build something, not necessarily something of value. I've seen advice online about not including personal projects unless they have some sort of tangible value and/or active user-base, but I wanted to hear this community's thoughts about this.
  2. Is my resume too short? Can a resume even be too short? This partially ties into my first question because without those two projects, the resume would only fill up half of the page. My resume used to have a lot more points describing what I did during my professional experience, but most of it was fluff, so I decided to cut them out. I feel like I am stuck between a rock and a hard place here because if I want to fill up my page with more information, it feels like I would need to add fluff-like material. However, I don't want the few seconds a recruiter will spend looking at my resume to be spent looking at the unimportant fluff material I used to fill up the page, so I added the projects as a way to hopefully avoid the whole issue. I'm wondering if this is even something I should worry about.

Of course, if there's another issue with my resume that I didn't mention in these two questions, please feel free to point it out, even if it's a nitpick. Also, if it helps, for context, I am currently looking to pivot from data engineering to backend development, so I am aiming for more junior level roles.

Thanks in advance!

Show more
Posted 2 years ago
177 Views
2 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.

Show more
Posted 9 months ago
155 Views
3 Comments

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. :)

Show more
Posted 9 months ago
147 Views
2 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.

Show more
Posted 2 years ago
143 Views
1 Comment

Please provide great onboarding questions for a new hire

Staff Software Engineer [E6] at Meta profile pic
Staff Software Engineer [E6] at Meta
  1. Team Charter: Overview of our mission and values?
  2. Milestones: Key goals for 2 weeks, 2 months, 6 months - clear success indicators?
  3. Key Contacts: Priority teams and individuals for relationship-building; schedule meetings? Essential tech leads and engineers contacts for insights across the org?
  4. Priorities: Weekly/quarterly priorities and alignment with company goals?
  5. Challenges: Major team challenges and my role in addressing them?
  6. Time Allocation: Expected distribution of my time across tasks?
  7. Learning Resources: Key documents or experiments to review?
  8. Project Ideas: Prospective projects and their scope (T-shirt sizing)?
  9. Performance Criteria: Access to the performance and progression rubric?
  10. Meeting Cadence: Preferred frequency for one-on-one meetings with manager, skip and peers?
  11. Feedback Schedule: Ideal timing for feedback sessions for peers, manager, and skip?
  12. Communication Preference: Written or verbal communication preference? Anything else?
  13. Asking for Help: Procedure and contact for assistance; onboarding buddy?
  14. Proactivity & Dynamics: Steps to proactivity and understanding organizational dynamics?
  15. Current Focus: Main current team issue or project?
  16. Recent & Future Work: Recent achievements and future plans (month, quarter, year)?
  17. Innovation Opportunities: Any tool/process gaps I can fill with a new solution?
  18. Team Charter Feedback: My understanding of our mission and KPIs; do you agree?
  19. People to Meet: List of essential PM's and people to influence across org teams.
  20. Project Ideas: Observations and potential impact with rough T-shirt sizing.

Anything else, also please reply if you were my manager if you can Alex + Rahul?

Show more
Posted 9 months ago
137 Views
3 Comments