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Avoid PIE and ML Platforms

Machine Learning Engineer
Current Employee
Has worked at Block for less than 1 year
April 2, 2022
1.0
Neutral OutlookNo CEO Opinion
Pros

Some nice people trying to move the needle. Good company, overall goal.

If you don't know anything about ML and want to be an ML engineer, they will hire just about anybody and give them a Sr. ML Engineer title. Got a physics degree? You are a shoe-in. Economics degree and one year at an "AI startup"? You'll be leading ML projects and a Lead Software Engineer.

Cons

Toxic middle management.

No real experience in ML, but leading projects just because they've been at Square a long time (probably because no one else will hire them).

Management is political; they will promise new features or lie just to put up roadblocks against other, more qualified teams that can deliver.

The tech stack is an all-inhouse nightmare: "Let's build it all ourselves" mess.

It's a bunch of engineers whose first answer to every question is, "Let's build something new," or maybe, if you're lucky, they are like, "Let's buy something new and then package a bunch of our own tech around it and call it a new project."

Many of the projects are on the 4th/5th iteration of just the same old tired nonsense so somebody new can be a DRI.

Instead of, you know, just using open-source tools and ML frameworks that already do what is needed.

But there's no promotion or bonuses in making the right decisions in PIE.

Maybe other parts of the company are better, but the PIE (ML Platform group) is career suicide.

Advice to Management

Get rid of the dead weight and toxic people.

Additional Ratings

Work/Life Balance
4.0
Culture and Values
1.0
Diversity, Equity, and Inclusion
2.0
Career Opportunities
2.0
Compensation and Benefits
3.0
Senior Management
1.0

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