Career Advice About Meta

Before I was at Meta, I worked at a networking company for 10+ years. It was very different from Meta as a massive consumer web company. On top of the domain differences, the culture is also very different between these 2 companies.

I'm working on ML at Meta, which is something I'm pretty new to. As a senior engineer who wants to make an impact quickly and make a push for staff, how can I effectively make this domain switch to hit the ground running fast?

Is sprint planning and agile not a thing at meta? I’m doing a lot of research since I’m trying to see how it’s like as I’m spending time leetcoding and if the vibes there are it’s on you to plan your projects and set a timeline then sprint planning would actually make the engineers not excel in independent planning?

And it seems like it’s against good e4 performance to be prompted to set your deliverables at the end of the sprint? Just not sure how agile is used cuz if it’s on everyone to figure out how to project manage on their own then what’s the point of agile?

Hi everyone, I have about 0 experience with machine learning and I'm thinking of ways to significantly increase my value in the future. My ideal plan is to get promoted to E5 in < 1 year and then change domains to ML (or ML Infra and work closely with ML engineers). I have almost 0 experience with ML directly, but I think they make much more money in the long run? I'm currently a backend software engineer.

Basically I want to know if it's worth investing my time & effort this or if it would be better to just eventually go for engineering management in the domain that I am already familiar with.

In particular, I'm having trouble figuring out really complex bugs. For example, on my current project, we're auditing a lot of the existing feature set to see what issues they have so we can fix them as we revamp them. I'm happy to find lots of issues, but I have no idea how to fix them, even after finding a code pointer.

I talked with a senior engineer on my team for help, and they were able to get more color on the situation. However, they mainly were able to do this as they have been in the org for a while and knew who to go to for what: I can't replicate that deep knowledge they have as I'm fairly new to the company. How can I create a systemic process I can follow to figure out these situations?

Meta is my first large tech company, so I don't know much about the other big players (Amazon, Google, etc). I was curious as to what makes Meta unique compared to other giant tech companies, so I could get a better understanding of the industry overall.

An XFN stakeholder came up with a last minute requirement for a big project I'm working on, which will probably slow down the launch by at least a couple days. I already made promises to other XFN about the launch date.

What's the best way to mitigate the heat on failing to launch on time and zooming out, how do I deal with last minute launch blockers in general?

I work overtime a lot, and it's pretty stressful. I'm also worried that amidst all this effort working for Meta, I'll lose track of who I am overall and what I can do for other companies. What can I do to strike a better balance here?

I have a recruiter screening with Meta next week for a full-stack software engineer role. What can I expect in the recruiter screening?

This is my first interview after a very long time, I need to brush up my skills. what is latest acceptable time frame to schedule the technical interviews without being considered late?

I've had 5+ friends leave Meta or quit software engineering altogether after E6. Either the responsibilities and stress were too much or what they were being asked to work on wasn't really aligned with their core interests. Business needs are always changing, so it can be a common occurrence to take a lot of ownership over a project you don't have personal interest in.

It's important to be adaptable, but I think intrinsic motivation can be hard to sustain if the people, project, or priorities are in flux.

For the older crowd, what really typifies career longevity in a software engineering?

I'm learning it's important not just to do good work but also to make your work visible to your team and sometimes wider circle. This is common feedback given to junior engineers at Meta. What are some ways to get more visibility on my work and what are some rules of thumb (e.g. structure of posts, cadence of posts, when to share progress in team meetings)?

I'm moving forward to team matching at Meta for E4 and wanted to ask the community if they had any suggestions for teams with the strongest potential for growth, especially for the New York office.

The recruiter gave me the following survey. I stated I'd be more of a "Product - Generalist" role. Would also be curious to learn more about "Systems - Generalist" as I did the System Design interview as well.

In general from what I've seen, there's a decent amount of opportunity in Instagram, Whatsapp, and Reality Labs (from product announcements and earnings calls). I've also been told to avoid monetization as it's difficult to make an impact there.

Would appreciate any advice or suggestions! Also would appreciate tips on what questions to ask Hiring Managers to assess how they grow E4s.

What is your role? (select the one that applies)

• Systems - Generalist
• Product - Generalist

What type of work motivates you the most? (select all that apply)

• Infra: Scaling challenges
• UX: Building user experiences
• Growth: Top of line impact
• Integrity: Ensuring platform safety
• Social Impact: Progressing positive change on key social issues

Who do you want to build products for? (select all that apply)

• Consumers: External, individual users of the Meta family of apps
• Businesses: External business account users of Meta family of products
• Meta Employees: Users of internal tools
• Developers: Internal and external engineers using Meta developer products and APIs

Please select which Meta Pillar(s) you’d be interested in joining? (select all that apply)

• Family of Apps: Enable optimized enforcement and support of account integrity to foster safe and meaningful communities.
• Monetization: Empower people and businesses to succeed in the global economy
• Gen AI: bring the transformative potential of generative AI to people and businesses
• Reality Labs: build tools that help people feel connected anytime, anywhere

How would you rank your preference in terms of products? (feel free to use numbers)

• Facebook App
• Monetization
• Privacy
• Messenger
• Instagram
• WhatsApp
• Reality Labs (AR/VR)